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Collections including paper arxiv:2505.17612

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 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Paper • 2506.21506 • Published Jun 26 • 51
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Efficient Agent Training for Computer Use

Paper • 2505.13909 • Published May 20 • 44
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81

Smol Agents papers

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 54
MMaDA: Multimodal Large Diffusion Language Models

Paper • 2505.15809 • Published May 21 • 97
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

Paper • 2505.21600 • Published May 27 • 71
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO

Paper • 2505.22453 • Published May 28 • 46

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 486
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 316
Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Paper • 2505.03335 • Published May 6 • 187

LLMs Distillation

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Synthetic Data RL: Task Definition Is All You Need

Paper • 2505.17063 • Published May 18 • 10

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published May 15 • 24
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 72
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published May 15 • 120
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published May 16 • 7

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 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 486
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Paper • 2506.21506 • Published Jun 26 • 51
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Efficient Agent Training for Computer Use

Paper • 2505.13909 • Published May 20 • 44
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88
Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 316
Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Paper • 2505.03335 • Published May 6 • 187

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81

LLMs Distillation

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81

Smol Agents papers

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81

Distilling LLM Agent into Small Models with Retrieval and Code Tools

Paper • 2505.17612 • Published May 23 • 81
Synthetic Data RL: Task Definition Is All You Need

Paper • 2505.17063 • Published May 18 • 10

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 54
MMaDA: Multimodal Large Diffusion Language Models

Paper • 2505.15809 • Published May 21 • 97
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

Paper • 2505.21600 • Published May 27 • 71
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO

Paper • 2505.22453 • Published May 28 • 46

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published May 15 • 24
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 72
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published May 15 • 120
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published May 16 • 7

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