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Large Language Models Are Not Robust Multiple Choice Selectors

Large Language Models Are Not Robust Multiple Choice Selectors

7 September 2023
Chujie Zheng
Hao Zhou
Fandong Meng
Jie Zhou
Minlie Huang
ArXivPDFHTML

Papers citing "Large Language Models Are Not Robust Multiple Choice Selectors"

38 / 38 papers shown
Title
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
Eitan Wagner
Omri Abend
27
0
0
04 May 2025
Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks
Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks
Yi-Long Lu
C. Zhang
Wei Wang
29
0
0
28 Apr 2025
When2Call: When (not) to Call Tools
When2Call: When (not) to Call Tools
Hayley Ross
Ameya Sunil Mahabaleshwarkar
Yoshi Suhara
92
0
0
26 Apr 2025
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
Jiabin Fan
Guoqing Luo
Michael Bowling
Lili Mou
OffRL
63
0
0
26 Apr 2025
Large language models could be rote learners
Large language models could be rote learners
Yuyang Xu
Renjun Hu
Haochao Ying
J. Wu
Xing Shi
Wei Lin
ELM
75
0
0
11 Apr 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
Kai Yan
Yufei Xu
Zhengyin Du
Xuesong Yao
Z. Wang
Xiaowen Guo
Jiecao Chen
ReLM
ELM
LRM
90
3
0
01 Apr 2025
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
Yu Zhang
Shutong Qiao
Jiaqi Zhang
Tzu-Heng Lin
Chen Gao
Y. Li
LM&Ro
LM&MA
87
1
0
07 Mar 2025
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions
Yizhe Zhang
Richard He Bai
Zijin Gu
Ruixiang Zhang
Jiatao Gu
Emmanuel Abbe
Samy Bengio
Navdeep Jaitly
LRM
BDL
53
1
0
25 Feb 2025
IPO: Your Language Model is Secretly a Preference Classifier
IPO: Your Language Model is Secretly a Preference Classifier
Shivank Garg
Ayush Singh
Shweta Singh
Paras Chopra
66
1
0
22 Feb 2025
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Kimia Noorbakhsh
Joseph Chandler
Pantea Karimi
M. Alizadeh
H. Balakrishnan
LRM
44
1
0
18 Feb 2025
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
Prateek Chhikara
34
1
0
16 Feb 2025
Aligning Black-box Language Models with Human Judgments
Aligning Black-box Language Models with Human Judgments
Gerrit J. J. van den Burg
Gen Suzuki
Wei Liu
Murat Sensoy
ALM
71
0
0
07 Feb 2025
The Order Effect: Investigating Prompt Sensitivity to Input Order in LLMs
The Order Effect: Investigating Prompt Sensitivity to Input Order in LLMs
Bryan Guan
Tanya Roosta
Peyman Passban
Mehdi Rezagholizadeh
97
0
0
06 Feb 2025
Option-ID Based Elimination For Multiple Choice Questions
Option-ID Based Elimination For Multiple Choice Questions
Zhenhao Zhu
Bulou Liu
Qingyao Ai
Y. Liu
54
0
0
25 Jan 2025
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Yinhong Liu
Han Zhou
Zhijiang Guo
Ehsan Shareghi
Ivan Vulić
Anna Korhonen
Nigel Collier
ALM
128
67
0
20 Jan 2025
Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation
Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation
Leonidas Zotos
H. Rijn
Malvina Nissim
65
0
0
16 Dec 2024
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Vipul Gupta
Candace Ross
David Pantoja
R. Passonneau
Megan Ung
Adina Williams
49
1
0
26 Oct 2024
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
Sangwon Yu
Ik-hwan Kim
Jongyoon Song
Saehyung Lee
Junsung Park
Sungroh Yoon
LRM
65
0
0
09 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
45
10
0
03 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
29
1
0
27 Sep 2024
How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments
How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments
Yusuke Ide
Yuto Nishida
Miyu Oba
Miyu Oba
Justin Vasselli
Hidetaka Kamigaito
Taro Watanabe
31
2
0
19 Aug 2024
Forecasting Live Chat Intent from Browsing History
Forecasting Live Chat Intent from Browsing History
Se-eun Yoon
A. Rabiah
Zaid Alibadi
Surya Kallumadi
Julian McAuley
AI4TS
21
0
0
07 Aug 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach
Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang
Hanlin Zhang
Xiner Li
Kuan-Hao Huang
Chi Han
Shuiwang Ji
Sham Kakade
Hao Peng
Heng Ji
49
12
0
01 Jul 2024
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Lynn Chua
Badih Ghazi
Yangsibo Huang
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chulin Xie
Chiyuan Zhang
51
1
0
23 Jun 2024
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Jack Merullo
Carsten Eickhoff
Ellie Pavlick
56
12
0
13 Jun 2024
OLMES: A Standard for Language Model Evaluations
OLMES: A Standard for Language Model Evaluations
Yuling Gu
Oyvind Tafjord
Bailey Kuehl
Dany Haddad
Jesse Dodge
Hannaneh Hajishirzi
ELM
32
13
0
12 Jun 2024
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila
Shuai Zhang
Boran Han
Yuyang Wang
AAML
LLMSV
27
6
0
05 Jun 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in
  Large Language Models
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
Sheng-Lun Wei
Cheng-Kuang Wu
Hen-Hsen Huang
Hsin-Hsi Chen
26
10
0
05 Jun 2024
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Yuchi Liu
Jaskirat Singh
Gaowen Liu
Ali Payani
Liang Zheng
LLMAG
74
4
0
30 May 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
38
4
0
27 May 2024
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single
  Process
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
Ermo Hua
Biqing Qi
Kaiyan Zhang
Yue Yu
Ning Ding
Xingtai Lv
Kai Tian
Bowen Zhou
32
3
0
20 May 2024
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Jie Ma
Min Hu
Pinghui Wang
Wangchun Sun
Lingyun Song
Hongbin Pei
Jun Liu
Youtian Du
32
4
0
18 Apr 2024
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
Chang Gao
Wenxuan Zhang
Guizhen Chen
Wai Lam
47
5
0
04 Oct 2023
Leveraging Large Language Models for Multiple Choice Question Answering
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson
Christopher Rytting
David Wingate
ELM
138
181
0
22 Oct 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
180
77
0
16 Sep 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
4,048
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,730
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
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