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Collections including paper arxiv:2504.16084

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 • 485
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

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 302
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120

TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Reading List of Motivated Papers

Toward Agentic Data Science and Analytic

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11 • 31
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

Paper • 2509.21710 • Published Sep 26 • 18
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120

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

Paper • 2504.13837 • Published Apr 18 • 136
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 185

Kuwain 1.5B: An Arabic SLM via Language Injection

Paper • 2504.15120 • Published Apr 21 • 121
LLaMA Pro: Progressive LLaMA with Block Expansion

Paper • 2401.02415 • Published Jan 4, 2024 • 53
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120

TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88
RM-R1: Reward Modeling as Reasoning

Paper • 2505.02387 • Published May 5 • 80

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

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 485
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

Reading List of Motivated Papers

Toward Agentic Data Science and Analytic

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Paper • 2504.08600 • Published Apr 11 • 31
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

Paper • 2509.21710 • Published Sep 26 • 18
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 302
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

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

Paper • 2504.13837 • Published Apr 18 • 136
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 185

TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120

Kuwain 1.5B: An Arabic SLM via Language Injection

Paper • 2504.15120 • Published Apr 21 • 121
LLaMA Pro: Progressive LLaMA with Block Expansion

Paper • 2401.02415 • Published Jan 4, 2024 • 53
TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120

TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120

TTRL: Test-Time Reinforcement Learning

Paper • 2504.16084 • Published Apr 22 • 120
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88
RM-R1: Reward Modeling as Reasoning

Paper • 2505.02387 • Published May 5 • 80

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