When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning Paper ⢠2504.01005 ⢠Published 20 days ago ⢠15
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model Paper ⢠2503.24290 ⢠Published 22 days ago ⢠61
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement Paper ⢠2503.17352 ⢠Published Mar 21 ⢠23
DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails Paper ⢠2502.05163 ⢠Published Feb 7 ⢠22
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Paper ⢠2411.11504 ⢠Published Nov 18, 2024 ⢠22
Training Language Models to Self-Correct via Reinforcement Learning Paper ⢠2409.12917 ⢠Published Sep 19, 2024 ⢠140
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning Paper ⢠2410.22304 ⢠Published Oct 29, 2024 ⢠18
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI Paper ⢠2410.11096 ⢠Published Oct 14, 2024 ⢠13
MIRAI: Evaluating LLM Agents for Event Forecasting Paper ⢠2407.01231 ⢠Published Jul 1, 2024 ⢠18
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance Paper ⢠2402.08680 ⢠Published Feb 13, 2024 ⢠1
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Paper ⢠2401.01335 ⢠Published Jan 2, 2024 ⢠66
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves Paper ⢠2311.04205 ⢠Published Nov 7, 2023 ⢠5