Temporal Sampling for Forgotten Reasoning in LLMs

26 May 2025

Papers citing "Temporal Sampling for Forgotten Reasoning in LLMs"

6 / 6 papers shown

Title
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Yang Yue Zhiqi Chen Rui Lu Andrew Zhao Zhaokai Wang Yang Yue Shiji Song Gao Huang ReLM LRM 253 128 0 18 Apr 2025
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce Wei Xiong Jiarui Yao Yuhui Xu Bo Pang Lei Wang ... Junnan Li Nan Jiang Tong Zhang Caiming Xiong Hanze Dong OffRL LRM 131 32 0 15 Apr 2025
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models Yuxiang Lai Shitian Zhao Ming Li Jike Zhong Xiaofeng Yang OffRL LRM LM&MA VLM 203 31 0 18 Mar 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 443 2,033 0 22 Jan 2025
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws Nikhil Sardana Jacob P. Portes Sasha Doubov Jonathan Frankle LRM 453 88 0 31 Dec 2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Yun Luo Zhen Yang Fandong Meng Yafu Li Jie Zhou Yue Zhang CLL KELM 221 319 0 17 Aug 2023