When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning Paper ā¢ 2504.01005 ā¢ Published 3 days ago ā¢ 14
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model Paper ā¢ 2503.24290 ā¢ Published 4 days ago ā¢ 54
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement Paper ā¢ 2503.17352 ā¢ Published 14 days ago ā¢ 21
DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails Paper ā¢ 2502.05163 ā¢ Published Feb 7 ā¢ 22
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Paper ā¢ 2411.11504 ā¢ Published Nov 18, 2024 ā¢ 21
Training Language Models to Self-Correct via Reinforcement Learning Paper ā¢ 2409.12917 ā¢ Published Sep 19, 2024 ā¢ 139
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning Paper ā¢ 2410.22304 ā¢ Published Oct 29, 2024 ā¢ 18
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI Paper ā¢ 2410.11096 ā¢ Published Oct 14, 2024 ā¢ 13
MIRAI: Evaluating LLM Agents for Event Forecasting Paper ā¢ 2407.01231 ā¢ Published Jul 1, 2024 ā¢ 18
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance Paper ā¢ 2402.08680 ā¢ Published Feb 13, 2024 ā¢ 1
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Paper ā¢ 2401.01335 ā¢ Published Jan 2, 2024 ā¢ 65
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves Paper ā¢ 2311.04205 ā¢ Published Nov 7, 2023 ā¢ 5