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Collections including paper arxiv:2510.00938

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality

Paper • 2510.22037 • Published Oct 24 • 19
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 494
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30 • 535
Scaling Language-Centric Omnimodal Representation Learning

Paper • 2510.11693 • Published Oct 13 • 100

Large Reasoning Models Learn Better Alignment from Flawed Thinking

Paper • 2510.00938 • Published Oct 1 • 58
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

Paper • 2509.19284 • Published Sep 23 • 22
Learning to Reason as Action Abstractions with Scalable Mid-Training RL

Paper • 2509.25810 • Published Sep 30 • 5
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 523 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Large Reasoning Models Learn Better Alignment from Flawed Thinking

Paper • 2510.00938 • Published Oct 1 • 58
Apriel-1.5-15b-Thinker

Paper • 2510.01141 • Published Oct 1 • 117

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality

Paper • 2510.22037 • Published Oct 24 • 19
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 494
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30 • 535
Scaling Language-Centric Omnimodal Representation Learning

Paper • 2510.11693 • Published Oct 13 • 100

Large Reasoning Models Learn Better Alignment from Flawed Thinking

Paper • 2510.00938 • Published Oct 1 • 58
Apriel-1.5-15b-Thinker

Paper • 2510.01141 • Published Oct 1 • 117

Large Reasoning Models Learn Better Alignment from Flawed Thinking

Paper • 2510.00938 • Published Oct 1 • 58
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

Paper • 2509.19284 • Published Sep 23 • 22
Learning to Reason as Action Abstractions with Scalable Mid-Training RL

Paper • 2509.25810 • Published Sep 30 • 5
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 22
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 523 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

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