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Strengthened Symbol Binding Makes Large Language Models Reliable
  Multiple-Choice Selectors
v1v2 (latest)

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

3 June 2024
Mengge Xue
Zhenyu Hu
Liqun Liu
Kuo Liao
Shuang Li
Honglin Han
Meng Zhao
Chengguo Yin
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
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
108
2
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
47
2
0
18 Oct 2024
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Hyeong Kyu Choi
Weijie Xu
Chi Xue
Stephanie Eckman
Chandan K. Reddy
92
2
0
27 Sep 2024
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