Thought-Like-Pro: Enhancing Reasoning of Large Language Models through
Self-Driven Prolog-based Chain-of-Thought

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought

18 July 2024

Xihe Qiu

Papers citing "Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought"

5 / 5 papers shown

Title
Enhancing Mathematical Reasoning in LLMs with Background Operators Jiajun Chen Yik-Cheung Tam LRM 68 0 0 05 Dec 2024
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory Yongxin Deng Xihe Qiu Xiaoyu Tan Jing Pan Chen Jue Zhijun Fang Yinghui Xu Wei Chu Yuan Qi 34 3 0 20 Aug 2024
Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs) Xiaoliang Chen Liangbin Li Le Chang Yunhe Huang Yuxuan Zhao Yuxiao Zhang Dinuo Li 34 6 0 20 Oct 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought Abulhair Saparov He He ELM LRM ReLM 123 277 0 03 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022