Re-Reading Improves Reasoning in Large Language Models

12 September 2023

Papers citing "Re-Reading Improves Reasoning in Large Language Models"

8 / 8 papers shown

Title
BELL: Benchmarking the Explainability of Large Language Models Syed Quiser Ahmed Bharathi Vokkaliga Ganesh Jagadish Babu P Karthick Selvaraj ReddySiva Naga Parvathi Devi Sravya Kappala ELM 84 0 0 22 Apr 2025
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication Zhangyue Yin Qiushi Sun Cheng Chang Qipeng Guo Junqi Dai Xuanjing Huang Xipeng Qiu LRM 48 46 0 04 Dec 2023
Large Language Models are Strong Zero-Shot Retriever Tao Shen Guodong Long Xiubo Geng Chongyang Tao Tianyi Zhou Daxin Jiang RALM KELM 35 33 0 27 Apr 2023
Rethinking with Retrieval: Faithful Large Language Model Inference Hangfeng He Hongming Zhang Dan Roth KELM LRM 141 151 0 31 Dec 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 152 411 0 03 Oct 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
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 245 671 0 06 Jan 2021