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2407.01687
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Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
1 July 2024
Akshara Prabhakar
Thomas L. Griffiths
R. Thomas McCoy
LRM
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Papers citing
"Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning"
10 / 10 papers shown
Title
Large Language Models and Mathematical Reasoning Failures
Johan Boye
Birger Moell
ELM
LRM
37
1
0
24 Feb 2025
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations
Vignesh Kothapalli
Hamed Firooz
Maziar Sanjabi
57
0
0
21 Feb 2025
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks
Eva Sánchez Salido
Julio Gonzalo
Guillermo Marco
ELM
58
2
0
18 Feb 2025
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal
Haruki Shirakami
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
54
1
0
17 Feb 2025
On Memorization of Large Language Models in Logical Reasoning
Chulin Xie
Yangsibo Huang
Chiyuan Zhang
Da Yu
Xinyun Chen
Bill Yuchen Lin
Bo Li
Badih Ghazi
Ravi Kumar
LRM
45
20
0
30 Oct 2024
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
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
87
64
0
26 Sep 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
141
115
0
16 Sep 2022
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
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
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