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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
Xiaoyu Tan
Yongxin Deng
Xihe Qiu
Weidi Xu
Chao Qu
Wei Chu
Yinghui Xu
Yuan Qi
    LRM
    AI4CE
    LM&Ro
ArXivPDFHTML

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

3 / 3 papers shown
Title
Challenges and Contributing Factors in the Utilization of Large Language
  Models (LLMs)
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
14
1
0
20 Oct 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
116
270
0
03 Oct 2022
Large Language Models are Zero-Shot Reasoners
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
1