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Collections including paper arxiv:2509.08827

Reasoning Papers

about 22 hours ago

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Paper • 2508.07629 • Published Aug 11 • 42
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

Paper • 2508.07101 • Published Aug 9 • 13
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 7
Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Paper • 2508.08940 • Published Aug 12 • 27

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 105
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 494
Multi-Agent Tool-Integrated Policy Optimization

Paper • 2510.04678 • Published Oct 6 • 30

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 494
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29 • 140
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 139

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 211
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 193

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Paper • 2508.02193 • Published Aug 4 • 132
Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

Paper • 2510.23607 • Published Oct 27 • 174
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

Paper • 2510.08673 • Published Oct 9 • 125

How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models

Paper • 2509.19371 • Published Sep 19
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Paper • 2505.06708 • Published May 10 • 7
Selective Attention: Enhancing Transformer through Principled Context Control

Paper • 2411.12892 • Published Nov 19, 2024
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189

Survey,Review,Landscape

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189

A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121
Aligning Multimodal LLM with Human Preference: A Survey

Paper • 2503.14504 • Published Mar 18 • 26

Reasoning Papers

about 22 hours ago

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Paper • 2508.07629 • Published Aug 11 • 42
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

Paper • 2508.07101 • Published Aug 9 • 13
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 7
Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Paper • 2508.08940 • Published Aug 12 • 27

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 138
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 105
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 494
Multi-Agent Tool-Integrated Policy Optimization

Paper • 2510.04678 • Published Oct 6 • 30

A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Paper • 2508.02193 • Published Aug 4 • 132
Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

Paper • 2510.23607 • Published Oct 27 • 174
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

Paper • 2510.08673 • Published Oct 9 • 125

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 494
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29 • 140
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 139

How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models

Paper • 2509.19371 • Published Sep 19
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Paper • 2505.06708 • Published May 10 • 7
Selective Attention: Enhancing Transformer through Principled Context Control

Paper • 2411.12892 • Published Nov 19, 2024
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225

Survey,Review,Landscape

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 211
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 193

A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 189
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 121
Aligning Multimodal LLM with Human Preference: A Survey

Paper • 2503.14504 • Published Mar 18 • 26

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