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Ask-Before-Detection: Identifying and Mitigating Conformity Bias in
  LLM-Powered Error Detector for Math Word Problem Solutions

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions

Annual Meeting of the Association for Computational Linguistics (ACL), 2024
22 December 2024
Hang Li
Tianlong Xu
Kaiqi Yang
Yucheng Chu
Yanling Chen
Yichi Song
Qingsong Wen
Hui Liu
ArXiv (abs)PDFHTML

Papers citing "Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions"

3 / 3 papers shown
Title
LLMs cannot spot math errors, even when allowed to peek into the solution
LLMs cannot spot math errors, even when allowed to peek into the solution
KV Aditya Srivatsa
Kaushal Kumar Maurya
Ekaterina Kochmar
LRM
15
0
0
01 Sep 2025
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
Yibo Yan
Shen Wang
Jiahao Huo
Philip S. Yu
Xuming Hu
Qingsong Wen
541
16
0
23 Mar 2025
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Yibo Yan
Shen Wang
Jiahao Huo
Jingheng Ye
Zhendong Chu
Xuming Hu
Philip S. Yu
Daniel Schwalbe-Koda
B. Selman
Qingsong Wen
LRM
378
24
0
05 Feb 2025
1