How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

3 March 2025

Papers citing "How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach"

8 / 8 papers shown

Title
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning Ziqing Qiao Yongheng Deng Jiali Zeng Dong Wang Lai Wei Fandong Meng Jie Zhou Ju Ren Yaoxue Zhang LRM 44 0 0 08 May 2025
Dynamic Early Exit in Reasoning Models Chenxu Yang Qingyi Si Yongjie Duan Zheliang Zhu Chenyu Zhu Zheng-Shen Lin Li Cao Weiping Wang ReLM LRM 28 0 0 22 Apr 2025
Efficient Reasoning Models: A Survey Sicheng Feng Gongfan Fang Xinyin Ma Xinchao Wang ReLM LRM 53 0 0 15 Apr 2025
Reasoning Models Can Be Effective Without Thinking Wenjie Ma Jingxuan He Charlie Snell Tyler Griggs Sewon Min Matei A. Zaharia ReLM LRM 42 4 1 14 Apr 2025
Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time Wang Yang Xiang Yue V. Chaudhary Xiaotian Han ReLM LRM 56 1 0 12 Apr 2025
Concise Reasoning via Reinforcement Learning Mehdi Fatemi Banafsheh Rafiee Mingjie Tang Kartik Talamadupula ReLM OffRL LRM 40 3 0 07 Apr 2025
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond Xiaoye Qu Yafu Li Zhaochen Su Weigao Sun Jianhao Yan ... Chaochao Lu Yue Zhang Xian-Sheng Hua Bowen Zhou Yu Cheng ReLM OffRL LRM 76 11 0 27 Mar 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Yang Sui Yu-Neng Chuang Guanchu Wang Jiamu Zhang Tianyi Zhang ... Hongyi Liu Andrew Wen Shaochen Zhong Hanjie Chen OffRL ReLM LRM 60 21 0 20 Mar 2025