Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper
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2503.24290
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Published
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62
To Read collection
interesting papers to read
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I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 118 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 111 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 124 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 86 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 48 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 152 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 140 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 74 -
Competitive Programming with Large Reasoning Models
Paper • 2502.06807 • Published • 70 -
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 391 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 276 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 115 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 121 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 105 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 101 -
Humanity's Last Exam
Paper • 2501.14249 • Published • 74 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 91 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 85 -
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 125 -
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 81 -
Large Language Models Can Self-Improve in Long-context Reasoning
Paper • 2411.08147 • Published • 67 -
Agentic Knowledgeable Self-awareness
Paper • 2504.03553 • Published • 28 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 275 -
AFlow: Automating Agentic Workflow Generation
Paper • 2410.10762 • Published -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 255 -
Iterative Self-Training for Code Generation via Reinforced Re-Ranking
Paper • 2504.09643 • Published • 34 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 60 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 84 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 119 -
FlowReasoner: Reinforcing Query-Level Meta-Agents
Paper • 2504.15257 • Published • 46 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 102 -
ToolRL: Reward is All Tool Learning Needs
Paper • 2504.13958 • Published • 43 -
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
Paper • 2504.14655 • Published • 19 -
Self-Taught Evaluators
Paper • 2408.02666 • Published • 30 -
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Paper • 2504.06261 • Published • 107 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 106 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 80 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 78 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 289 -
Addition is All You Need for Energy-efficient Language Models
Paper • 2410.00907 • Published • 151 -
Differential Transformer
Paper • 2410.05258 • Published • 178 -
Pixtral 12B
Paper • 2410.07073 • Published • 66 -
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
Paper • 2504.03160 • Published • 1 -
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 54 -
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Paper • 2504.21776 • Published • 41 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 89 -
Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward Models
Paper • 2504.20157 • Published • 34