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Collections including paper arxiv:2603.22458

Stuff I'm going to read

LTX-2: Efficient Joint Audio-Visual Foundation Model

Paper • 2601.03233 • Published Jan 6 • 178
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head

Paper • 2601.07832 • Published Jan 12 • 53
Motion Attribution for Video Generation

Paper • 2601.08828 • Published Jan 13 • 71
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep

Paper • 2601.19895 • Published Jan 27 • 27

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 153
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 149
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 154
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 119

My notification

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

Paper • 2601.15369 • Published Jan 21 • 21
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model

Paper • 2601.15892 • Published Jan 22 • 53
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders

Paper • 2601.16208 • Published Jan 22 • 55
NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems

Paper • 2601.11004 • Published Jan 16 • 30

HunyuanOCR Technical Report

Paper • 2511.19575 • Published Nov 24, 2025 • 22
DeepSeek-OCR 2: Visual Causal Flow

Paper • 2601.20552 • Published Jan 28 • 69
CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding

Paper • 2602.01785 • Published Feb 2 • 96
MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136

MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data

Paper • 2603.25319 • Published Mar 26 • 32
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Paper • 2603.25040 • Published Mar 26 • 132
MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

Paper • 2603.21986 • Published Mar 23 • 125

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136

Endless Terminals: Scaling RL Environments for Terminal Agents

Paper • 2601.16443 • Published Jan 23 • 18
Linear representations in language models can change dramatically over a conversation

Paper • 2601.20834 • Published Jan 28 • 21
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 103
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 550
mHC: Manifold-Constrained Hyper-Connections

Paper • 2512.24880 • Published Dec 31, 2025 • 326
NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos

Paper • 2601.00393 • Published Jan 1 • 132
LTX-2: Efficient Joint Audio-Visual Foundation Model

Paper • 2601.03233 • Published Jan 6 • 178

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Paper • 2503.09573 • Published Mar 12, 2025 • 77
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21, 2025 • 56
Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

Paper • 2505.16990 • Published May 22, 2025 • 22
D-AR: Diffusion via Autoregressive Models

Paper • 2505.23660 • Published May 29, 2025 • 34

Stuff I'm going to read

LTX-2: Efficient Joint Audio-Visual Foundation Model

Paper • 2601.03233 • Published Jan 6 • 178
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head

Paper • 2601.07832 • Published Jan 12 • 53
Motion Attribution for Video Generation

Paper • 2601.08828 • Published Jan 13 • 71
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep

Paper • 2601.19895 • Published Jan 27 • 27

MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data

Paper • 2603.25319 • Published Mar 26 • 32
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Paper • 2603.25040 • Published Mar 26 • 132
MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

Paper • 2603.21986 • Published Mar 23 • 125

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 153
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 149
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 154
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 119

Endless Terminals: Scaling RL Environments for Terminal Agents

Paper • 2601.16443 • Published Jan 23 • 18
Linear representations in language models can change dramatically over a conversation

Paper • 2601.20834 • Published Jan 28 • 21
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 103
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

My notification

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

Paper • 2601.15369 • Published Jan 21 • 21
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model

Paper • 2601.15892 • Published Jan 22 • 53
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders

Paper • 2601.16208 • Published Jan 22 • 55
NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems

Paper • 2601.11004 • Published Jan 16 • 30

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 550
mHC: Manifold-Constrained Hyper-Connections

Paper • 2512.24880 • Published Dec 31, 2025 • 326
NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos

Paper • 2601.00393 • Published Jan 1 • 132
LTX-2: Efficient Joint Audio-Visual Foundation Model

Paper • 2601.03233 • Published Jan 6 • 178

HunyuanOCR Technical Report

Paper • 2511.19575 • Published Nov 24, 2025 • 22
DeepSeek-OCR 2: Visual Causal Flow

Paper • 2601.20552 • Published Jan 28 • 69
CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding

Paper • 2602.01785 • Published Feb 2 • 96
MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Paper • 2603.22458 • Published Mar 23 • 136

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Paper • 2503.09573 • Published Mar 12, 2025 • 77
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21, 2025 • 56
Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

Paper • 2505.16990 • Published May 22, 2025 • 22
D-AR: Diffusion via Autoregressive Models

Paper • 2505.23660 • Published May 29, 2025 • 34

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