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Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
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Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors

Mengge Xue
Zhenyu Hu
Liqun Liu
Kuo Liao
Shuang Li
Honglin Han
Meng Zhao
Chengguo Yin
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Papers citing "Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors"

4 / 4 papers shown
Title
Hearing the Order: Investigating Selection Bias in Large Audio-Language Models
Hearing the Order: Investigating Selection Bias in Large Audio-Language Models
Yu-Xiang Lin
Chen-An Li
Sheng-Lun Wei
Po-Chun Chen
Hsin-Hsi Chen
Hung-yi Lee
60
0
0
01 Oct 2025
Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models
Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models
Jayanta Sadhu
Ayan Antik Khan
Noshin Nawal
Sanju Basak
Abhik Bhattacharjee
Rifat Shahriyar
196
5
0
24 Nov 2024
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
Olga Loginova
Oleksandr Bezrukov
Ravi Shekhar
Alexey Kravets
145
3
0
18 Oct 2024
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Mitigating Selection Bias with Node Pruning and Auxiliary OptionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Hyeong Kyu Choi
Weijie Xu
Chi Xue
Stephanie Eckman
Chandan K. Reddy
294
8
0
27 Sep 2024