Keypoint-based Progressive Chain-of-Thought Distillation for LLMs

25 May 2024

Papers citing "Keypoint-based Progressive Chain-of-Thought Distillation for LLMs"

6 / 6 papers shown

Title
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving Kaituo Feng Changsheng Li Dongchun Ren Ye Yuan Guoren Wang 18 1 0 02 Mar 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 198 283 0 03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation Jamie Yap Zhengyang Wang Zheng Li K. Lynch Bing Yin Xiang Ren LRM 57 91 0 03 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022