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20232026
most citedLanguage Model Self-improvement by Reinforcement Learning Contemplation

2 citations · 3 across the 6 of their papers we have counts for

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cs.CL2026

RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution

Kaiyuan Li, Jing-Cheng Pang, Yang Yu

Reinforcement learning from verifiable rewards (RLVR) stimulates the thinking processes of large language models (LLMs), substantially enhancing their reasoning abilities on verifi…

cs.CL2023★ 2 cited

Language Model Self-improvement by Reinforcement Learning Contemplation

Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li +4

Large Language Models (LLMs) have exhibited remarkable performance across various natural language processing (NLP) tasks. However, fine-tuning these models often necessitates subs…