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2505.24687 | Shengyuan Liu | Shengyuan Liu, Wenting Chen, Boyun Zheng, Wentao Pan, Xiang Li, Yixuan Yuan | TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching | 10 pages, 4 figures | null | null | null | eess.IV cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. However, current approaches either limit tumor diversity by using predefined masks or employ computationally expensive two-stage processes with multiple denoising steps, causing computational inefficiency. Additionally, thes... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711725 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24689 | Sander Land | Sander Land, Catherine Arnett | BPE Stays on SCRIPT: Structured Encoding for Robust Multilingual Pretokenization | 9 pages, 2 figures. For associated code, see https://github.com/sanderland/script_bpe | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Byte Pair Encoding (BPE) tokenizers, widely used in Large Language Models, face challenges in multilingual settings, including penalization of non-Western scripts and the creation of tokens with partial UTF-8 sequences. Pretokenization, often reliant on complex regular expressions, can also introduce fragility and unex... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709918 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24690 | Simone Alberto Peirone | Simone Alberto Peirone and Francesca Pistilli and Antonio Alliegro and Tatiana Tommasi and Giuseppe Averta | Learning reusable concepts across different egocentric video understanding tasks | Extended abstract derived from arXiv:2502.02487. Presented at the Second Joint Egocentric Vision (EgoVis) Workshop (CVPR 2025) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Our comprehension of video streams depicting human activities is naturally multifaceted: in just a few moments, we can grasp what is happening, identify the relevance and interactions of objects in the scene, and forecast what will happen soon, everything all at once. To endow autonomous systems with such holistic perc... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.706948 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24692 | Derek Everett | Derek Everett, Fred Lu, Edward Raff, Fernando Camacho, James Holt | Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms | KDD 2025, Research Track | null | 10.1145/3711896.3737097 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Canonical algorithms for multi-armed bandits typically assume a stationary reward environment where the size of the action space (number of arms) is small. More recently developed methods typically relax only one of these assumptions: existing non-stationary bandit policies are designed for a small number of arms, whil... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712301 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24693 | Julio Silva-Rodr\'iguez | Julio Silva-Rodr\'iguez and Ismail Ben Ayed and Jose Dolz | Conformal Prediction for Zero-Shot Models | CVPR 2025. Code: https://github.com/jusiro/CLIP-Conformal | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Vision-language models pre-trained at large scale have shown unprecedented adaptability and generalization to downstream tasks. Although its discriminative potential has been widely explored, its reliability and uncertainty are still overlooked. In this work, we investigate the capabilities of CLIP models under the spl... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711678 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24697 | Aaron Conrardy | Aaron Conrardy, Alfredo Capozucca, Jordi Cabot | Towards a unified user modeling language for engineering human centered AI systems | Accepted at the Third Workshop on Engineering Interactive Systems Embedding AI Technologies (EISEAIT workshop at EICS 2025) | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | In today's digital society, personalization has become a crucial aspect of software applications, significantly impacting user experience and engagement. A new wave of intelligent user interfaces, such as AI-based conversational agents, has the potential to enable such personalization beyond what other types of interfa... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709283 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24701 | Tejul Pandit | Tejul Pandit, Meet Raval, and Dhvani Upadhyay | Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison | 11 pages, 3 figures, 5 tables, 6th International Conference on Natural Language Computing and AI (NLCAI 2025), ISBN : 978-1-923107-59-5, Computer Science & Information Technology (CS & IT), ISSN : 2231 - 5403, Volume 15, Number 10, May 2025 | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Aspect-Based Sentiment Analysis (ABSA) offers granular insights into opinions but often suffers from the scarcity of diverse, labeled datasets that reflect real-world conversational nuances. This paper presents an approach for generating synthetic ABSA data using Large Language Models (LLMs) to address this gap. We det... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.704983 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24703 | Dennis Jacob | Dennis Jacob, Chong Xiang, Prateek Mittal | PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches | CVPR 2025 | null | null | null | cs.CR cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning techniques have enabled vast improvements in computer vision technologies. Nevertheless, these models are vulnerable to adversarial patch attacks which catastrophically impair performance. The physically realizable nature of these attacks calls for certifiable defenses, which feature provable guarantees o... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712214 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24704 | Hideaki Kim | Hideaki Kim, Tomoharu Iwata, Akinori Fujino | K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes | Accepted to ICML 2025 | null | null | null | stat.ML cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Kernel method-based intensity estimators, formulated within reproducing kernel Hilbert spaces (RKHSs), and classical kernel intensity estimators (KIEs) have been among the most easy-to-implement and feasible methods for estimating the intensity functions of inhomogeneous Poisson processes. While both approaches share t... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710724 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24709 | Soichiro Nishimori | Soichiro Nishimori, Yu-Jie Zhang, Thanawat Lodkaew, and Masashi Sugiyama | On Symmetric Losses for Robust Policy Optimization with Noisy Preferences | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Optimizing policies based on human preferences is key to aligning language models with human intent. This work focuses on reward modeling, a core component in reinforcement learning from human feedback (RLHF), and offline preference optimization, such as direct preference optimization. Conventional approaches typically... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710004 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24710 | Wei Chen | Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai | Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting | Accepted by IJCAI 2025 | null | null | null | cs.LG cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have shown great potential in decision-making due to the vast amount of knowledge stored within the models. However, these pre-trained models are prone to lack reasoning abilities and are difficult to adapt to new environments, further hindering their application to complex real-world tasks... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.71257 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24712 | Guido Ivetta | Guido Ivetta (1 and 2), Marcos J. Gomez (1 and 2), Sof\'ia Martinelli (1), Pietro Palombini (1), M. Emilia Echeveste (1 and 2), Nair Carolina Mazzeo (2), Beatriz Busaniche (2), Luciana Benotti (1 and 2) ((1) Universidad Nacional de C\'ordoba, Argentina, (2) Fundaci\'on V\'ia Libre) | HESEIA: A community-based dataset for evaluating social biases in large language models, co-designed in real school settings in Latin America | null | null | null | null | cs.CL cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Most resources for evaluating social biases in Large Language Models are developed without co-design from the communities affected by these biases, and rarely involve participatory approaches. We introduce HESEIA, a dataset of 46,499 sentences created in a professional development course. The course involved 370 high-s... | 2025-06-02T00:00:00 | new_dataset | true | 0.709577 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24713 | Badr M. Abdullah | Badr M. Abdullah, Matthew Baas, Bernd M\"obius, Dietrich Klakow | Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification | Accepted in Interspeech 2025 | null | null | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Arabic dialect identification (ADI) systems are essential for large-scale data collection pipelines that enable the development of inclusive speech technologies for Arabic language varieties. However, the reliability of current ADI systems is limited by poor generalization to out-of-domain speech. In this paper, we pre... | 2025-06-02T00:00:00 | new_dataset | true | 0.711175 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24714 | Junyu Luo | Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo | FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation | ACL 2025 Main Conference | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Multimodal Large Language Models (MLLMs) have experienced rapid development in recent years. However, in the financial domain, there is a notable lack of effective and specialized multimodal evaluation datasets. To advance the development of MLLMs in the finance domain, we introduce FinMME, encompassing more than 11,00... | 2025-06-02T00:00:00 | new_dataset | true | 0.715607 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24715 | Prabhu Teja Sivaprasad | Fabio Fehr, Prabhu Teja Sivaprasad, Luca Franceschi, Giovanni Zappella | CoRet: Improved Retriever for Code Editing | ACL 2025 | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In this paper, we introduce CoRet, a dense retrieval model designed for code-editing tasks that integrates code semantics, repository structure, and call graph dependencies. The model focuses on retrieving relevant portions of a code repository based on natural language queries such as requests to implement new feature... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712118 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24716 | Christopher Buss | Christopher Buss, Mahdis Safari, Arash Termehchy, Stefan Lee, David Maier | Towards Scalable Schema Mapping using Large Language Models | null | null | null | null | cs.DB cs.AI | http://creativecommons.org/licenses/by/4.0/ | The growing need to integrate information from a large number of diverse sources poses significant scalability challenges for data integration systems. These systems often rely on manually written schema mappings, which are complex, source-specific, and costly to maintain as sources evolve. While recent advances sugges... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.713058 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24717 | Benjamin Holzschuh | Benjamin Holzschuh, Qiang Liu, Georg Kohl and Nils Thuerey | PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations | ICML 2025. Code available at https://github.com/tum-pbs/pde-transformer | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce PDE-Transformer, an improved transformer-based architecture for surrogate modeling of physics simulations on regular grids. We combine recent architectural improvements of diffusion transformers with adjustments specific for large-scale simulations to yield a more scalable and versatile general-purpose tra... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710279 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24721 | Nick Rossenbach | Nick Rossenbach, Benedikt Hilmes, Leon Brackmann, Moritz Gunz, Ralf Schl\"uter | Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach | Accepted for the Blue Sky track at Interspeech 2025 | null | null | null | cs.LG cs.AR cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Memristor-based hardware offers new possibilities for energy-efficient machine learning (ML) by providing analog in-memory matrix multiplication. Current hardware prototypes cannot fit large neural networks, and related literature covers only small ML models for tasks like MNIST or single word recognition. Simulation c... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709616 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24724 | Zhipeng Wang | Xihan Xiong, Zhipeng Wang, Qin Wang, Endong Liu, Pascal Berrang, William Knottenbelt | Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs) | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Can you imagine, blockchain transactions can talk! In this paper, we study how they talk and what they talk about. We focus on the input data field of Ethereum transactions, which is designed to allow external callers to interact with smart contracts. In practice, this field also enables users to embed natural language... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.707087 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24725 | Ali W. Elshaari | Jun Gao, Jin Chang, Bruno Lopez Rodriguez, Iman Esmaeil Zadeh, Val Zwiller, Ali W. Elshaari | From Pixels to Camera: Scaling Superconducting Nanowire Single-Photon Detectors for Imaging at the Quantum-Limit | null | null | null | null | quant-ph cond-mat.supr-con physics.app-ph physics.optics | http://creativecommons.org/licenses/by/4.0/ | Superconducting nanowire single-photon detectors (SNSPDs) have emerged as essential devices that push the boundaries of photon detection with unprecedented sensitivity, ultrahigh timing precision, and broad spectral response. Recent advancements in materials engineering, superconducting electronics integration, and cry... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.71324 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24726 | Melisa Russak | Shelly Bensal, Umar Jamil, Christopher Bryant, Melisa Russak, Kiran Kamble, Dmytro Mozolevskyi, Muayad Ali, Waseem AlShikh | Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We explore a method for improving the performance of large language models through self-reflection and reinforcement learning. By incentivizing the model to generate better self-reflections when it answers incorrectly, we demonstrate that a model's ability to solve complex, verifiable tasks can be enhanced even when ge... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.71251 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24727 | Xiaochen Zhang | Xiaochen Zhang and Haoyi Xiong | Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery | null | null | null | null | stat.ML cs.LG eess.SP | http://creativecommons.org/publicdomain/zero/1.0/ | This paper introduces a novel Knockoff-guided compressive sensing framework, referred to as \TheName{}, which enhances signal recovery by leveraging precise false discovery rate (FDR) control during the support identification phase. Unlike LASSO, which jointly performs support selection and signal estimation without ex... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.71148 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24728 | Dongzi Jin | Dongzi Jin, Yong Xiao, Yingyu Li | Robust Federated Learning against Model Perturbation in Edge Networks | Accepted by IEEE ICC 2025 | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL) is a promising paradigm for realizing edge intelligence, allowing collaborative learning among distributed edge devices by sharing models instead of raw data. However, the shared models are often assumed to be ideal, which would be inevitably violated in practice due to various perturbations, le... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710632 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24729 | Magamed Taimeskhanov | Magamed Taimeskhanov, Damien Garreau | Feature Attribution from First Principles | 30 pages, 3 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Feature attribution methods are a popular approach to explain the behavior of machine learning models. They assign importance scores to each input feature, quantifying their influence on the model's prediction. However, evaluating these methods empirically remains a significant challenge. To bypass this shortcoming, se... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710865 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24731 | Alan Sun | Alan Sun | Circuit Stability Characterizes Language Model Generalization | 16 pages, 10 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Extensively evaluating the capabilities of (large) language models is difficult. Rapid development of state-of-the-art models induce benchmark saturation, while creating more challenging datasets is labor-intensive. Inspired by the recent developments in mechanistic interpretability, we introduce circuit stability as a... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.708485 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24733 | Jiaxu Zhang | Jiaxu Zhang, Xianfang Zeng, Xin Chen, Wei Zuo, Gang Yu, Guosheng Lin, Zhigang Tu | DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents DreamDance, a novel character art animation framework capable of producing stable, consistent character and scene motion conditioned on precise camera trajectories. To achieve this, we re-formulate the animation task as two inpainting-based steps: Camera-aware Scene Inpainting and Pose-aware Video I... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711625 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24735 | Yu Hin (Gary) Au | Yu Hin Au and Levent Tun\c{c}el | A Computational Search for Minimal Obstruction Graphs for the Lov\'{a}sz--Schrijver SDP Hierarchy | null | null | null | null | math.CO cs.DM math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the lift-and-project relaxations of the stable set polytope of graphs generated by $\text{LS}_+$, the SDP lift-and-project operator devised by Lov\'{a}sz and Schrijver. In particular, we focus on searching for $\ell$-minimal graphs, which are graphs on $3\ell$ vertices whose stable set polytope has rank $\ell$... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.706275 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24736 | Julio Cesar Cavalcanti | Julio Cesar Cavalcanti, Gabriel Skantze | "Dyadosyncrasy", Idiosyncrasy and Demographic Factors in Turn-Taking | Accepted to Interspeech 2025 | null | null | null | eess.AS cs.CL | http://creativecommons.org/licenses/by/4.0/ | Turn-taking in dialogue follows universal constraints but also varies significantly. This study examines how demographic (sex, age, education) and individual factors shape turn-taking using a large dataset of US English conversations (Fisher). We analyze Transition Floor Offset (TFO) and find notable interspeaker varia... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.704007 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24737 | Erchi Wang | Erchi Wang, Yuqing Zhu, Yu-Xiang Wang | Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the problem of differentially private empirical risk minimization (DP-ERM) for binary linear classification. We obtain an efficient $(\varepsilon,\delta)$-DP algorithm with an empirical zero-one risk bound of $\tilde{O}\left(\frac{1}{\gamma^2\varepsilon n} + \frac{|S_{\mathrm{out}}|}{\gamma n}\right)... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711735 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24740 | Kalina Dimitrova | Kalina Dimitrova, Venelin Kozhuharov, Ruslan Nastaev and Peicho Petkov | Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods | null | null | null | null | physics.ins-det | http://creativecommons.org/licenses/by/4.0/ | Machine-learning-based methods can be developed for the reconstruction of clusters in segmented detectors for high energy physics experiments. Convolutional neural networks with autoencoder architecture trained on labeled data from a simulated dataset reconstruct events by providing information about the hit point and ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712568 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24741 | Alfonso M. Ganan-Calvo | Alfonso M. Ganan-Calvo and Miguel A. Herrada and Jens Eggers | Cone-jet Stokes solutions in strong viscous flows: the vanishing flow rate limit | 38 pages, 15 figures, 1 appendix | null | null | null | physics.flu-dyn | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Steady tip streaming in the vanishing flow rate limit has been evidenced both experimentally and numerically in the literature. However, local conical Stokes flow solutions supporting these results at vanishing small scales around the emitting tip have remained elusive. This work presents approximate local conical solu... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712639 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24742 | Andres Munoz-Arcentales Ph. D. | Irene Plaza-Ortiz, Andres Munoz-Arcentales, Joaqu\'in Salvach\'ua, Carlos Aparicio, Gabriel Huecas, Enrique Barra | Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL | Accepted: OPAL 2025: ODRL And Beyond: Practical Applications And Challenges For Policy-Base Access And Usage Control., June 01--02, 2025, Portoro\v{z}, Slovenia | null | null | null | cs.CR cs.ET | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Data has become a crucial resource in the digital economy, fostering initiatives for secure and sovereign data sharing frameworks such as Data Spaces. However, these distributed environments require fine-grained access control mechanisms that balance openness with sovereignty and security. This paper proposes an extens... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711695 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24746 | Jiazhong Cen | Jiazhong Cen, Xudong Zhou, Jiemin Fang, Changsong Wen, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian | Tackling View-Dependent Semantics in 3D Language Gaussian Splatting | ICML 2025 camera ready. Project Page: https://jumpat.github.io/laga-page/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in 3D Gaussian Splatting (3D-GS) enable high-quality 3D scene reconstruction from RGB images. Many studies extend this paradigm for language-driven open-vocabulary scene understanding. However, most of them simply project 2D semantic features onto 3D Gaussians and overlook a fundamental gap between ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712592 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24751 | Sangmin Kim | Sangmin Kim and Hae-Won Park | EL-AGHF: Extended Lagrangian Affine Geometric Heat Flow | 6 pages, 4 figures | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We propose a constrained Affine Geometric Heat Flow (AGHF) method that evolves so as to suppress the dynamics gaps associated with inadmissible control directions. AGHF provides a unified framework applicable to a wide range of motion planning problems, including both holonomic and non-holonomic systems. However, to ge... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.7127 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24754 | Yingchaojie Feng | Yingchaojie Feng, Yiqun Sun, Yandong Sun, Minfeng Zhu, Qiang Huang, Anthony K. H. Tung, Wei Chen | Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation | Accepted to ACL 2025 | null | null | null | cs.CL cs.AI cs.IR | http://creativecommons.org/licenses/by/4.0/ | In this work, we investigate an important task named instruction-following text embedding, which generates dynamic text embeddings that adapt to user instructions, highlighting specific attributes of text. Despite recent advancements, existing approaches suffer from significant computational overhead, as they require r... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711039 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24756 | Diego Clerissi | Dario Olianas, Diego Clerissi, Maurizio Leotta, Filippo Ricca | TESTQUEST: A Web Gamification Tool to Improve Locators and Page Objects Quality | 4 pages, 3 figures, submitted to 51st Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA) 2025 | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Web applications play a crucial role in our daily lives, making it essential to employ testing methods that ensure their quality. Typically, Web testing automation frameworks rely on locators to interact with the graphical user interface, acting as connection points to the elements on a Web page. Nevertheless, locators... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709317 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24763 | Steve Blandino | Steve Blandino, Nada Golmie, Anirudha Sahoo, Thao Nguyen, Tanguy Ropitault, David Griffith and Amala Sonny | Detecting Airborne Objects with 5G NR Radars | null | null | null | null | eess.SP cs.NI | http://creativecommons.org/licenses/by/4.0/ | The integration of sensing capabilities into 5G New Radio (5G NR) networks offers an opportunity to enable the detection of airborne objects without the need for dedicated radars. This paper investigates the feasibility of using standardized Positioning Reference Signals (PRS) to detect UAVs in Urban Micro (UMi) and Ur... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709798 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24768 | Haoyu Li | Haoyu Li, Xuhong Li, Yiming Dong, Kun Liu | From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dataset diversity plays a pivotal role for the successful training of many machine learning models, particularly in the supervised fine-tuning (SFT) stage of large language model (LLM) development. Despite increasing recognition of its importance, systematic analyses of dataset diversity still remain underexplored. To ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.675912 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24776 | Zachary Bastiani | Zachary Bastiani, Robert M. Kirby, Jacob Hochhalter, Shandian Zhe | Diffusion-Based Symbolic Regression | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Diffusion has emerged as a powerful framework for generative modeling, achieving remarkable success in applications such as image and audio synthesis. Enlightened by this progress, we propose a novel diffusion-based approach for symbolic regression. We construct a random mask-based diffusion and denoising process to ge... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.71144 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24780 | RunZe He | Run-Ze He, Jun-Jian Su, Su-Juan Qin, Zheng-Ping Jin, Fei Gao | QGAN-based data augmentation for hybrid quantum-classical neural networks | null | null | null | null | cs.LG quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quantum neural networks converge faster and achieve higher accuracy than classical models. However, data augmentation in quantum machine learning remains underexplored. To tackle data scarcity, we integrate quantum generative adversarial networks (QGANs) with hybrid quantum-classical neural networks (HQCNNs) to develop... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712859 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24781 | Karim Abou-Moustafa | Karim Abou-Moustafa | Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV | An extended version of a short article that appeared in 2023 IEEE Workshop on Information Theory, Saint-Malo, France | null | null | null | stat.ML cs.CE cs.CV cs.LG eess.SP | http://creativecommons.org/licenses/by/4.0/ | We consider the problem of estimating a regularization parameter, or a shrinkage coefficient $\alpha \in (0,1)$ for Regularized Tyler's M-estimator (RTME). In particular, we propose to estimate an optimal shrinkage coefficient by setting $\alpha$ as the solution to a suitably chosen objective function; namely the leave... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709143 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24784 | Conor Heins | Conor Heins, Toon Van de Maele, Alexander Tschantz, Hampus Linander, Dimitrije Markovic, Tommaso Salvatori, Corrado Pezzato, Ozan Catal, Ran Wei, Magnus Koudahl, Marco Perin, Karl Friston, Tim Verbelen, Christopher Buckley | AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models | 10 pages main text, 4 figures, 2 tables; 25 pages supplementary material, 8 figures | null | null | null | cs.AI cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Current deep reinforcement learning (DRL) approaches achieve state-of-the-art performance in various domains, but struggle with data efficiency compared to human learning, which leverages core priors about objects and their interactions. Active inference offers a principled framework for integrating sensory information... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709853 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24786 | Eran Beeri Bamani | Eran Bamani Beeri, Eden Nissinman, Avishai Sintov | DiG-Net: Enhancing Quality of Life through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics | arXiv admin note: substantial text overlap with arXiv:2411.18413 | null | null | null | cs.RO cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | Dynamic hand gestures play a pivotal role in assistive human-robot interaction (HRI), facilitating intuitive, non-verbal communication, particularly for individuals with mobility constraints or those operating robots remotely. Current gesture recognition methods are mostly limited to short-range interactions, reducing ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711634 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24787 | Yucheng Zhou | Yucheng Zhou, Jiahao Yuan, Qianning Wang | Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation | null | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in text-to-image (T2I) generation have enabled models to produce high-quality images from textual descriptions. However, these models often struggle with complex instructions involving multiple objects, attributes, and spatial relationships. Existing benchmarks for evaluating T2I models primarily fo... | 2025-06-02T00:00:00 | new_dataset | true | 0.714777 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24788 | Houjun Liu | Houjun Liu, John Bauer, Christopher D. Manning | Drop Dropout on Single-Epoch Language Model Pretraining | Accepted to ACL Findings; 5 pages, 2 figures, 4 pages of appendix | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Originally, dropout was seen as a breakthrough regularization technique that reduced overfitting and improved performance in almost all applications of deep learning by reducing overfitting. Yet, single-epoch pretraining tasks common to modern LLMs yield minimal overfitting, leading to dropout not being used for large ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710884 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24791 | Jiaru Zhang | Jiaru Zhang, Juanwu Lu, Ziran Wang, Ruqi Zhang | Inference Acceleration of Autoregressive Normalizing Flows by Selective Jacobi Decoding | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Normalizing flows are promising generative models with advantages such as theoretical rigor, analytical log-likelihood computation, and end-to-end training. However, the architectural constraints to ensure invertibility and tractable Jacobian computation limit their expressive power and practical usability. Recent adva... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712143 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24792 | Xinliu Zhong | Xinliu Zhong, Leo Hwa Liang, Angela S. Koh, Yeo Si Yong | Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification | 6 pages, 15 figures | 2024 IEEE Conference on Artificial Intelligence (CAI), 2024, 839-844 | 10.1109/CAI59869.2024.00157 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Traditional diagnostic methods like colonoscopy are invasive yet critical tools necessary for accurately diagnosing colorectal cancer (CRC). Detection of CRC at early stages is crucial for increasing patient survival rates. However, colonoscopy is dependent on obtaining adequate and high-quality endoscopic images. Prol... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711128 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24800 | Sergey Dyakov A. | Sergey A. Dyakov, Ilia A. Smagin, Natalia S. Salakhova, Oleg Blokhin, Denis G. Baranov, Ilia M. Fradkin, and Nikolay A. Gippius | Strong coupling of chiral light with chiral matter: a macroscopic study | 12 pages, 4 figures | null | null | null | physics.optics cond-mat.other | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Maximizing the interaction between chiral light and chiral matter is pivotal for the advancement of technologies enabling optical detection that distinguishes between different handedness in chiral organic molecules. One strategy involves developing a resonator that sustains photonic modes with non-zero electromagnetic... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.713985 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24801 | Dorian Christoph Quelle | Dorian Quelle, Frederic Denker, Prashant Garg, Alexandre Bovet | Why Academics Are Leaving Twitter for Bluesky | null | null | null | null | cs.SI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We analyse the migration of 300,000 academic users from Twitter/X to Bluesky between 2023 and early 2025, combining rich bibliometric data, longitudinal social-media activity, and a novel cross-platform identity-matching pipeline. We show that 18% of scholars in our sample transitioned, with transition rates varying sh... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.708169 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24802 | John Stephan | Marc Gonz\'alez, Rachid Guerraoui, Rafael Pinot, Geovani Rizk, John Stephan, Fran\c{c}ois Ta\"iani | ByzFL: Research Framework for Robust Federated Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present ByzFL, an open-source Python library for developing and benchmarking robust federated learning (FL) algorithms. ByzFL provides a unified and extensible framework that includes implementations of state-of-the-art robust aggregators, a suite of configurable attacks, and tools for simulating a variety of FL sce... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.708566 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24804 | Xuhui Zhang | Chunjie Wang and Xuhui Zhang and Wenchao Liu and Jinke Ren and Huijun Xing and Shuqiang Wang and Yanyan Shen | Coordinated Beamforming for RIS-Empowered ISAC Systems over Secure Low-Altitude Networks | This manuscript has been submitted to the IEEE | null | null | null | eess.SP cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Emerging as a cornerstone for next-generation wireless networks, integrated sensing and communication (ISAC) systems demand innovative solutions to balance spectral efficiency and sensing accuracy. In this paper, we propose a coordinated beamforming framework for a reconfigurable intelligent surface (RIS)-empowered ISA... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711438 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24805 | Hernan Haimovich | Hernan Haimovich, Shenyu Liu, Antonio Russo, Jose L. Mancilla-Aguilar | Input-Power-to-State Stability of Time-Varying Systems | Submitted to Automatica | null | null | null | eess.SY cs.SY math.OC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | When the state of a system may remain bounded even if both the input amplitude and energy are unbounded, then the state bounds given by the standard input-to-state stability (ISS) and integral-ISS (iISS) properties may provide no useful information. This paper considers an ISS-related concept suitable in such a case: i... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711487 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24806 | Ahmadreza Montazerolghaem | Somaye Imanpour, Ahmadreza Montazerolghaem, Saeed Afshari | Optimizing Server Load Distribution in Multimedia IoT Environments through LSTM-Based Predictive Algorithms | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | The Internet of Multimedia Things (IoMT) represents a significant advancement in the evolution of IoT technologies, focusing on the transmission and management of multimedia streams. As the volume of data continues to surge and the number of connected devices grows exponentially, internet traffic has reached unpreceden... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711591 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24807 | Maksim Kulichenko | Vishikh Athavale, Nikita Fedik, William Colglazier, Anders M. N. Niklasson, Maksim Kulichenko, Sergei Tretiak | PySEQM 2.0: Accelerated Semiempirical Excited State Calculations on Graphical Processing Units | null | null | null | LA-UR-25-25101 | physics.chem-ph physics.comp-ph | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We report the implementation of electronic excited states for semi-empirical quantum chemical methods at the configuration interaction singles (CIS) and time-dependent Hartree-Fock (TDHF) level of theory in the PySEQM software. Built on PyTorch, this implementation leverages GPU acceleration to significantly speed up m... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709252 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24808 | Wenhao Ding | Wenhao Ding, Sushant Veer, Yuxiao Chen, Yulong Cao, Chaowei Xiao, Marco Pavone | RealDrive: Retrieval-Augmented Driving with Diffusion Models | null | null | null | null | cs.RO cs.AI | http://creativecommons.org/licenses/by/4.0/ | Learning-based planners generate natural human-like driving behaviors by learning to reason about nuanced interactions from data, overcoming the rigid behaviors that arise from rule-based planners. Nonetheless, data-driven approaches often struggle with rare, safety-critical scenarios and offer limited controllability ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712054 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24812 | Marcelo Fiore | Marcelo Fiore and Sanjiv Ranchod | Substructural Abstract Syntax with Variable Binding and Single-Variable Substitution | To appear in the Fortieth Annual ACM/IEEE Symposium on Logic in Computer Science (LICS'25) | null | null | null | cs.LO math.CT | http://creativecommons.org/licenses/by/4.0/ | We develop a unified categorical theory of substructural abstract syntax with variable binding and single-variable (capture-avoiding) substitution. This is done for the gamut of context structural rules given by exchange (linear theory) with weakening (affine theory) or with contraction (relevant theory) and with both ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.708634 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24813 | Marc Barthelemy | Yannick Feld, Marc Barthelemy | Critical demand in a stochastic model of flows in supply networks | Letter (5 pages with 4 figures)+Supplementary Material | Phys. Rev. Lett. 134, 217401 (Published 30 May, 2025) | null | null | physics.soc-ph cond-mat.dis-nn cond-mat.stat-mech | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Supply networks are essential for modern production, yet their critical properties remain understudied. We present a stochastic model with random production capacities to analyze material flow to a root node, focusing on topology and buffer stocks. The critical demand, where unsatisfied demand diverges, is examined mos... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710995 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24814 | Sarah Kostinski | Debendro Mookerjee and Sarah Kostinski | Closed-form survival probabilities for biased random walks at arbitrary step number | null | null | null | null | cond-mat.stat-mech physics.data-an | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a closed-form expression for the survival probability of a biased random walker to first reach a target site on a 1D lattice. The expression holds for any step number $N$ and is computationally faster than non-closed-form results in the literature. Because our result is exact even in the intermediate step nu... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711256 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24815 | V Varagapriya | V Varagapriya, Vikas Vikram Singh, Abdel Lisser | Convex Approximations of Random Constrained Markov Decision Processes | null | null | null | null | math.OC cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Constrained Markov decision processes (CMDPs) are used as a decision-making framework to study the long-run performance of a stochastic system. It is well-known that a stationary optimal policy of a CMDP problem under discounted cost criterion can be obtained by solving a linear programming problem when running costs a... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711597 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24816 | Jiangpeng He | Jiangpeng He and Zhihao Duan and Fengqing Zhu | CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning | Accepted to CVPR 2025 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Class-Incremental Learning (CIL) aims to learn new classes sequentially while retaining the knowledge of previously learned classes. Recently, pre-trained models (PTMs) combined with parameter-efficient fine-tuning (PEFT) have shown remarkable performance in rehearsal-free CIL without requiring exemplars from previous ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710664 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24817 | Eric Nelson | Eric C. Nelson, Kyle J. Charbonnet, Haytham H. Effarah, Trevor Reutershan, Kyle D. Chesnut, Christopher P. J. Barty | Focused axisymmetric spatially chirped beams | 12 pages, supplemental document (3 pages), submitted for peer review | null | null | null | physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A characterization of the focused space-time structures of radially chirped beams is provided, detailing different tunable properties such as: variable on-axis centroid velocity, symmetric pulse front tilt, transverse intensity modulations, and polarization states. While the practical generation of ideal radially chirp... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712346 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24818 | Dirk Witthaut | Aarathi Parameswaran, Iva Ba\v{c}i\'c, Andrea Benigni, Dirk Witthaut | Symmetry breaking in minimum dissipation networks | 12 pages, 11 figures | null | null | null | nlin.AO physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Both natural and man-made supply networks exhibit universal structural patterns, such as the formation of loops. These patterns can be understood in terms of optimization models, assuming that biological networks evolved to optimal states and technical networks are designed to function optimally. In this article, we an... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712625 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24819 | Haozhan Tang | Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi | Bi-Manual Joint Camera Calibration and Scene Representation | null | null | null | null | cs.RO cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Robot manipulation, especially bimanual manipulation, often requires setting up multiple cameras on multiple robot manipulators. Before robot manipulators can generate motion or even build representations of their environments, the cameras rigidly mounted to the robot need to be calibrated. Camera calibration is a cumb... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711953 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24820 | Yu Xi | Yu Xi, Xiaoyu Gu, Haoyu Li, Jun Song, Bo Zheng, Kai Yu | Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding | null | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | RNN-T-based keyword spotting (KWS) with autoregressive decoding~(AR) has gained attention due to its streaming architecture and superior performance. However, the simplicity of the prediction network in RNN-T poses an overfitting issue, especially under challenging scenarios, resulting in degraded performance. In this ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711271 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24823 | Yinggan Xu | Yinggan Xu, Yue Liu, Zhiqiang Gao, Changnan Peng and Di Luo | PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models | null | null | null | null | cs.LG cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have rapidly advanced and are increasingly capable of tackling complex scientific problems, including those in physics. Despite this progress, current LLMs often fail to emulate the concise, principle-based reasoning characteristic of human experts, instead generating lengthy and opaque sol... | 2025-06-02T00:00:00 | new_dataset | true | 0.712242 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24824 | Marta L\'opez Rauhut | Marta L\'opez-Rauhut, Hongyu Zhou, Mathieu Aubry, Loic Landrieu | Segmenting France Across Four Centuries | 20 pages, 8 figures, 3 tables | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Historical maps offer an invaluable perspective into territory evolution across past centuries--long before satellite or remote sensing technologies existed. Deep learning methods have shown promising results in segmenting historical maps, but publicly available datasets typically focus on a single map type or period, ... | 2025-06-02T00:00:00 | new_dataset | true | 0.710998 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24831 | Luis Enrique Correa Rocha Prof | Ruixue Jing, Ryota Kobayashi, Luis Enrique Correa Rocha | Optimising cryptocurrency portfolios through stable clustering of price correlation networks | Comments welcomed | null | null | null | physics.pop-ph physics.soc-ph q-fin.PM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The emerging cryptocurrency market presents unique challenges for investment due to its unregulated nature and inherent volatility. However, collective price movements can be explored to maximise profits with minimal risk using investment portfolios. In this paper, we develop a technical framework that utilises histori... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712298 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24833 | Duxing Hao | Duxing Hao, Chun-I Lu, Ziqi Sun, Yu-Chen Chang, Wen-Hao Chang, Ye-Ru Chen, Akiyoshi Park, Beining Rao, Siyuan Qiu, Yann-Wen Lan, Ting-Hua Lu, and Nai-Chang Yeh | Cryogenic scanning photocurrent spectroscopy for materials responses to structured optical fields | null | null | null | null | cond-mat.other physics.ins-det | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Circular dichroism spectroscopy is known to provide important insights into the interplay of different degrees of freedom in quantum materials, and yet spectroscopic study of the optoelectronic responses of quantum materials to structured optical fields, such as light with finite spin and orbital angular momentum, has ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710208 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24837 | Qizao Wang | Yinglian Zhu, Haiyang Yu, Qizao Wang, Wei Lu, Xiangyang Xue, Bin Li | Zero-Shot Chinese Character Recognition with Hierarchical Multi-Granularity Image-Text Aligning | The first three authors contributed equally | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Chinese Character Recognition (CCR) is a fundamental technology for intelligent document processing. Unlike Latin characters, Chinese characters exhibit unique spatial structures and compositional rules, allowing for the use of fine-grained semantic information in representation. However, existing approaches are usuall... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711496 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24839 | Shilpa Sarkar | Shilpa Sarkar | Novel methodology to obtain transonic solutions for dissipative flows around compact objects | 18 pages, 10 figures, 1 table, Accepted in Physical Review D after minor revision | null | null | null | astro-ph.HE hep-th physics.comp-ph physics.plasm-ph | http://creativecommons.org/licenses/by/4.0/ | A novel methodology to obtain global transonic solutions around compact objects is reported here. A unified methodology to obtain accretion as well as wind solutions around these objects has been presented. Flows around compact objects are dissipative, and the conservation equations are therefore stiff. In such conditi... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.713103 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24840 | Yuan Qing | Yuwen Tan, Yuan Qing, Boqing Gong | Vision LLMs Are Bad at Hierarchical Visual Understanding, and LLMs Are the Bottleneck | 28 pages, 13 figures | null | null | null | cs.CV cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper reveals that many state-of-the-art large language models (LLMs) lack hierarchical knowledge about our visual world, unaware of even well-established biology taxonomies. This shortcoming makes LLMs a bottleneck for vision LLMs' hierarchical visual understanding (e.g., recognizing Anemone Fish but not Vertebra... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.708804 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24844 | Wanyun Xie | Wanyun Xie, Francesco Tonin, Volkan Cevher | Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning | ICML 2025 | null | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by/4.0/ | Training data mixtures greatly impact the generalization performance of large language models. Existing domain reweighting methods often rely on costly weight computations and require retraining when new data is introduced. To this end, we introduce a flexible and efficient data mixing framework, Chameleon, that employ... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.711774 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24849 | Mauro Pastore | Jean Barbier, Francesco Camilli, Minh-Toan Nguyen, Mauro Pastore, Rudy Skerk | Statistical mechanics of extensive-width Bayesian neural networks near interpolation | 9 pages + appendices, 12 figures. This submission supersedes arXiv:2501.18530 | null | null | null | stat.ML cond-mat.dis-nn cond-mat.stat-mech cs.IT cs.LG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For three decades statistical mechanics has been providing a framework to analyse neural networks. However, the theoretically tractable models, e.g., perceptrons, random features models and kernel machines, or multi-index models and committee machines with few neurons, remained simple compared to those used in applicat... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712227 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24853 | Zhao Mandi | Zhao Mandi, Yifan Hou, Dieter Fox, Yashraj Narang, Ajay Mandlekar, Shuran Song | DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation | null | null | null | null | cs.RO cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | We study the problem of functional retargeting: learning dexterous manipulation policies to track object states from human hand-object demonstrations. We focus on long-horizon, bimanual tasks with articulated objects, which is challenging due to large action space, spatiotemporal discontinuities, and embodiment gap bet... | 2025-06-02T00:00:00 | new_dataset | true | 0.713744 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24857 | Heli Ben-Hamu | Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer | Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent masked diffusion models (MDMs) have shown competitive performance compared to autoregressive models (ARMs) for language modeling. While most literature has focused on performance enhancing sampling procedures, efficient sampling from MDMs has been scarcely explored. We make the observation that often a given seq... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709917 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24860 | Victoria Webster-Wood | Avery S. Williamson, Michael J. Bennington, Ravesh Sukhnandan, Mrinali Nakhre, Yuemin Mao, Victoria A. Webster-Wood | PB&J: Peanut Butter and Joints for Damped Articulation | to be published in Living Machines 2025 Proceedings | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many bioinspired robots mimic the rigid articulated joint structure of the human hand for grasping tasks, but experience high-frequency mechanical perturbations that can destabilize the system and negatively affect precision without a high-frequency controller. Despite having bandwidth-limited controllers that experien... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.70082 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24863 | Junyu Zhang | Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang | AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents AlphaOne ($\alpha$1), a universal framework for modulating reasoning progress in large reasoning models (LRMs) at test time. $\alpha$1 first introduces $\alpha$ moment, which represents the scaled thinking phase with a universal parameter $\alpha$. Within this scaled pre-$\alpha$ moment phase, it dy... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.710496 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24864 | Shizhe Diao | Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong | ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models | 26 pages, 17 figures | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in reasoning-centric language models have highlighted reinforcement learning (RL) as a promising method for aligning models with verifiable rewards. However, it remains contentious whether RL truly expands a model's reasoning capabilities or merely amplifies high-reward outputs already latent in the bas... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.709828 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24867 | Mukul Ranjan | Ujjwal Upadhyay and Mukul Ranjan and Zhiqiang Shen and Mohamed Elhoseiny | Time Blindness: Why Video-Language Models Can't See What Humans Can? | Project page at https://timeblindness.github.io/ | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recent advances in vision-language models (VLMs) have made impressive strides in understanding spatio-temporal relationships in videos. However, when spatial information is obscured, these models struggle to capture purely temporal patterns. We introduce $\textbf{SpookyBench}$, a benchmark where information is encoded ... | 2025-06-02T00:00:00 | new_dataset | true | 0.660718 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24873 | Bojia Zi | Bojia Zi, Weixuan Peng, Xianbiao Qi, Jianan Wang, Shihao Zhao, Rong Xiao, Kam-Fai Wong | MiniMax-Remover: Taming Bad Noise Helps Video Object Removal | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent advances in video diffusion models have driven rapid progress in video editing techniques. However, video object removal, a critical subtask of video editing, remains challenging due to issues such as hallucinated objects and visual artifacts. Furthermore, existing methods often rely on computationally expensive... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.713024 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24874 | Adam Stein | Adam Stein, Aaditya Naik, Neelay Velingker, Mayur Naik, Eric Wong | The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models | 19 pages, 11 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Neuro-symbolic learning was proposed to address challenges with training neural networks for complex reasoning tasks with the added benefits of interpretability, reliability, and efficiency. Neuro-symbolic learning methods traditionally train neural models in conjunction with symbolic programs, but they face significan... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.713314 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24876 | Tajamul Ashraf | Tajamul Ashraf, Amal Saqib, Hanan Ghani, Muhra AlMahri, Yuhao Li, Noor Ahsan, Umair Nawaz, Jean Lahoud, Hisham Cholakkal, Mubarak Shah, Philip Torr, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman Khan | Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks | null | null | null | null | cs.CV cs.CL | http://creativecommons.org/licenses/by/4.0/ | Deep reasoning is fundamental for solving complex tasks, especially in vision-centric scenarios that demand sequential, multimodal understanding. However, existing benchmarks typically evaluate agents with fully synthetic, single-turn queries, limited visual modalities, and lack a framework to assess reasoning quality ... | 2025-06-02T00:00:00 | new_dataset | true | 0.711932 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24877 | Yangyi Huang | Yangyi Huang and Ye Yuan and Xueting Li and Jan Kautz and Umar Iqbal | AdaHuman: Animatable Detailed 3D Human Generation with Compositional Multiview Diffusion | Website: https://nvlabs.github.io/AdaHuman | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Existing methods for image-to-3D avatar generation struggle to produce highly detailed, animation-ready avatars suitable for real-world applications. We introduce AdaHuman, a novel framework that generates high-fidelity animatable 3D avatars from a single in-the-wild image. AdaHuman incorporates two key innovations: (1... | 2025-06-02T00:00:00 | no_new_dataset | false | 0.712166 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2505.24878 | Yaxin Luo | Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, Zhiqiang Shen | Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents | Code at: https://github.com/MetaAgentX/OpenCaptchaWorld | null | null | null | cs.AI cs.CL cs.CV cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | CAPTCHAs have been a critical bottleneck for deploying web agents in real-world applications, often blocking them from completing end-to-end automation tasks. While modern multimodal LLM agents have demonstrated impressive performance in static perception tasks, their ability to handle interactive, multi-step reasoning... | 2025-06-02T00:00:00 | new_dataset | true | 0.702896 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
1810.06981 | Christian Baumgarten | C. Baumgarten | How to (Un-) Quantum Mechanics | 35 Pages, 1 Figure | null | null | null | physics.gen-ph quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When compared to quantum mechanics, classical mechanics is often depicted in a specific metaphysical flavour: spatio-temporal realism or a Newtonian "background" is presented as an intrinsic fundamental classical presumption. However, the Hamiltonian formulation of classical analytical mechanics is based on abstract ge... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.710126 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
1911.11868 | Greg Bodwin | Greg Bodwin and Santosh Vempala | A Unified View of Graph Regularity via Matrix Decompositions | null | null | null | null | cs.DS math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove algorithmic weak and \Szemeredi{} regularity lemmas for several classes of sparse graphs in the literature, for which only weak regularity lemmas were previously known. These include core-dense graphs, low threshold rank graphs, and (a version of) $L^p$ upper regular graphs. More precisely, we define \emph{cut... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.707962 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2001.07495 | Daniel Nissani | Daniel N. Nissani (Nissensohn) | Unsupervisedly Learned Representations: Should the Quest be Over? | published at The 6th International Conference on Machine Learning, Optimization and Data Science - LOD 2020 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | After four decades of research there still exists a Classification accuracy gap of about 20% between our best Unsupervisedly Learned Representations methods and the accuracy rates achieved by intelligent animals. It thus may well be that we are looking in the wrong direction. A possible solution to this puzzle is prese... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.709158 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2007.13121 | Sahil Singla | Danny Segev and Sahil Singla | Efficient Approximation Schemes for Stochastic Probing and Selection-Stopping Problems | 38 pages; the preliminary version appeared in EC 2021 | null | null | null | cs.DS cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a general framework to design {efficient} polynomial time approximation schemes (EPTAS) for fundamental stochastic combinatorial optimization problems. Given an error parameter $\epsilon>0$, such algorithmic schemes attain a $(1-\epsilon)$-approximation in $t(\epsilon)\cdot poly(|{\cal I}|)$ t... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.709779 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2111.00814 | Tamas Spisak | Tamas Spisak | Statistical quantification of confounding bias in predictive modelling | 20 pages, 7 figures. The manuscript is associated with the the python package `mlconfound`: https://mlconfound.readthedocs.io See manuscript repository, including fully reproducible analysis code, here: https://github.com/pni-lab/mlconfound-manuscript | GigaScience, Volume 11, 2022, giac082 | 10.1093/gigascience/giac082 | null | cs.LG q-bio.QM stat.ML | http://creativecommons.org/licenses/by/4.0/ | The lack of non-parametric statistical tests for confounding bias significantly hampers the development of robust, valid and generalizable predictive models in many fields of research. Here I propose the partial and full confounder tests, which, for a given confounder variable, probe the null hypotheses of unconfounded... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.711734 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2111.12835 | Cody Christopher PhD | Cody James Christopher, Kristen Moore, David Liebowitz | SchemaDB: Structures in Relational Datasets | Draft | Comm.Comp.Inf.Sci (CCIS). 1741 (2022) AusDM. 233-243 | 10.1007/978-981-19-8746-5_17 | null | cs.DB cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper we introduce the SchemaDB data-set; a collection of relational database schemata in both sql and graph formats. Databases are not commonly shared publicly for reasons of privacy and security, so schemata are not available for study. Consequently, an understanding of database structures in the wild is lack... | 2025-05-30T00:00:00 | new_dataset | true | 0.67 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2203.02252 | Qiang Zou | Qiang Zou | Parametric/direct CAD integration | 12 pages; 3 figures | Computer-Aided Design 157 (2023): 103465 | 10.1016/j.cad.2022.103465 | null | cs.GR cs.CG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In the history of computer-aided design (CAD), feature-based parametric modeling and boundary representation-based direct modeling are two of the most important CAD paradigms, developed respectively in the late 1980s and the late 2000s. They have complementary advantages and limitations, thereby offering huge potential... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.711932 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2204.07971 | Jelena Stratijev | Milo\v{s} Stojakovi\'c and Jelena Stratijev | On strong avoiding games | 23 pages | Discrete Mathematics 346 (2023) 113270 | 10.1016/j.disc.2022.113270 | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an increasing graph property $\cal F$, the strong Avoider-Avoider $\cal F$ game is played on the edge set of a complete graph. Two players, Red and Blue, take turns in claiming previously unclaimed edges with Red going first, and the player whose graph possesses $\cal F$ first loses the game. If the property $\ca... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.709546 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2207.00378 | Micha{\l} Siemaszko | Micha{\l} Siemaszko, Adam Buraczewski, Bertrand Le Saux, Magdalena Stobi\'nska | Rapid training of quantum recurrent neural networks | null | Quantum Mach. Intell. 5, 31 (2023) | 10.1007/s42484-023-00117-0 | 5 (31) | quant-ph cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time series prediction is essential for human activities in diverse areas. A common approach to this task is to harness Recurrent Neural Networks (RNNs). However, while their predictions are quite accurate, their learning process is complex and, thus, time and energy consuming. Here, we propose to extend the concept of... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.712435 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2209.06725 | Takase Shimizu | Takase Shimizu, Jun-ichiro Ohe, Akira Endo, Taketomo Nakamura, and Shingo Katsumoto | Half-mirror for electrons on quantum Hall copropagating edge channels | null | Phys. Rev. Applied 19, 034085 (2023) | 10.1103/PhysRevApplied.19.034085 | null | cond-mat.mes-hall physics.app-ph quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A half-mirror that divides a spin-polarized electron into two parallel copropagating spin-resolved quantum Hall edge channels one half each is presented in this study. The partition process was coherent, as confirmed by observing the Aharonov-Bohm oscillation at a high visibility of up to 60% in a Mach-Zehnder interfer... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.712092 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2210.15709 | Gunnar K\"onig | Gunnar K\"onig, Timo Freiesleben, Moritz Grosse-Wentrup | Improvement-Focused Causal Recourse (ICR) | under review | null | 10.1609/aaai.v37i10.26398 | null | stat.ML cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Algorithmic recourse recommendations, such as Karimi et al.'s (2021) causal recourse (CR), inform stakeholders of how to act to revert unfavourable decisions. However, some actions lead to acceptance (i.e., revert the model's decision) but do not lead to improvement (i.e., may not revert the underlying real-world state... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.712262 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2301.08028 | Jacob Beck | Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa Zintgraf, Chelsea Finn, Shimon Whiteson | A Tutorial on Meta-Reinforcement Learning | Published in Foundations and Trends in Machine Learning as "A Tutorial on Meta-Reinforcement Learning". For the earlier version titled "A Survey of Meta-Reinforcement Learning", see v3 in the submission history at arXiv:2301.08028v3 | Foundations and Trends in Machine Learning: Vol. 18, No. 2-3, pp 224-384 (2025) | 10.1561/2200000080 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | While deep reinforcement learning (RL) has fueled multiple high-profile successes in machine learning, it is held back from more widespread adoption by its often poor data efficiency and the limited generality of the policies it produces. A promising approach for alleviating these limitations is to cast the development... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.711847 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2302.04363 | Alexander Jung | S. Abdurakhmanova, Y. SarcheshmehPour and A. Jung | Plug In and Learn: Federated Intelligence over a Smart Grid of Models | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present a model-agnostic federated learning method that mirrors the operation of a smart power grid: diverse local models, like energy prosumers, train independently on their own data while exchanging lightweight signals to coordinate with statistically similar peers. This coordination is governed by a graph-based r... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.710025 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2303.09117 | Weixing Chen | Weixing Chen, Yang Liu, Ce Wang, Jiarui Zhu, Guanbin Li, Cheng-Lin Liu and Liang Lin | Cross-Modal Causal Intervention for Medical Report Generation | Accepted by IEEE TIP 2025, 16 pages, 11 figures, 7 tables | IEEE Transactions on Image Processing 34 (2025) 2970-2985 | 10.1109/TIP.2025.3568746 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Radiology Report Generation (RRG) is essential for computer-aided diagnosis and medication guidance, which can relieve the heavy burden of radiologists by automatically generating the corresponding radiology reports according to the given radiology image. However, generating accurate lesion descriptions remains challen... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.712222 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2305.03112 | Lechao Cheng | Lechao Cheng, Zerun Liu, Jingxuan He, Chaowei Fang, Dingwen Zhang, Meng Wang | Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Weakly supervised semantic segmentation (WSSS) has recently attracted considerable attention because it requires fewer annotations than fully supervised approaches, making it especially promising for large-scale image segmentation tasks. Although many vision transformer-based methods leverage self-attention affinity ma... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.711815 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
2306.17159 | Jean-Philip Piquemal | C\'esar Feniou, Muhammad Hassan, Baptiste Claudon, Axel Courtat, Olivier Adjoua, Yvon Maday, Jean-Philip Piquemal | Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer | null | Scientific Reports, 2025, 15, 18689 | 10.1038/s41598-025-99962-1 | null | quant-ph physics.chem-ph | http://creativecommons.org/licenses/by/4.0/ | Hybrid quantum-classical adaptive Variational Quantum Eigensolvers (VQE) hold the potential to outperform classical computing for simulating many-body quantum systems. However, practical implementations on current quantum processing units (QPUs) are challenging due to the noisy evaluation of a polynomially scaling numb... | 2025-05-30T00:00:00 | no_new_dataset | false | 0.709817 | 2026-03-01T00:45:07.287856 | davanstrien/ModernBERT-base-is-new-arxiv-dataset |
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