Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning

20 October 2023

Papers citing "Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning"

7 / 7 papers shown

Title
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Jie He Nan Hu Wanqiu Long Jiaoyan Chen Jeff Z. Pan ELM LRM 90 6 0 22 Dec 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations Zhicheng YANG Yinya Huang Jing Xiong Liang Feng Xiaodan Liang Yiwei Wang Jing Tang LRM 11 1 0 22 Nov 2023
Towards A Unified View of Answer Calibration for Multi-Step Reasoning Shumin Deng Ningyu Zhang Nay Oo Bryan Hooi LRM 25 1 0 15 Nov 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 207 318 0 21 Sep 2022
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
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022