Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Paper • 2504.13837 • Published 3 days ago • 61
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? Paper • 2504.09702 • Published 8 days ago • 16
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs Paper • 2504.11536 • Published 6 days ago • 56
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing Paper • 2504.07964 • Published 11 days ago • 60
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? Paper • 2504.06514 • Published 13 days ago • 38
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Paper • 2504.10766 • Published 7 days ago • 38
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations Paper • 2504.10481 • Published 7 days ago • 81
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories Paper • 2504.08942 • Published 10 days ago • 26
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning Paper • 2504.07128 • Published 20 days ago • 80
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Paper • 2504.07096 • Published 12 days ago • 71
Inference-Time Scaling for Generalist Reward Modeling Paper • 2504.02495 • Published 19 days ago • 52
PaperBench: Evaluating AI's Ability to Replicate AI Research Paper • 2504.01848 • Published 19 days ago • 35
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations Paper • 2504.00824 • Published 20 days ago • 39
Understanding R1-Zero-Like Training: A Critical Perspective Paper • 2503.20783 • Published 26 days ago • 43
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model Paper • 2503.24290 • Published 21 days ago • 61