Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Tang, Xuemei, Duan, Xufeng, Cai, Zhenguang G. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
by: Tang, Xuemei, et al.
Published: (2024)
by: Tang, Xuemei, et al.
Published: (2024)
HLB: Benchmarking LLMs' Humanlikeness in Language Use
by: Duan, Xufeng, et al.
Published: (2024)
by: Duan, Xufeng, et al.
Published: (2024)
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
by: Li, Ruizhe, et al.
Published: (2024)
by: Li, Ruizhe, et al.
Published: (2024)
SCALPEL: Selective Capability Ablation via Low-rank Parameter Editing for Large Language Model Interpretability Analysis
by: Fu, Zihao, et al.
Published: (2026)
by: Fu, Zihao, et al.
Published: (2026)
Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
by: Zhou, Xinyu, et al.
Published: (2024)
by: Zhou, Xinyu, et al.
Published: (2024)
Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability
by: Duan, Xufeng, et al.
Published: (2024)
by: Duan, Xufeng, et al.
Published: (2024)
Grammaticality Representation in ChatGPT as Compared to Linguists and Laypeople
by: Qiu, Zhuang, et al.
Published: (2024)
by: Qiu, Zhuang, et al.
Published: (2024)
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
by: Wu, Hanlin, et al.
Published: (2025)
by: Wu, Hanlin, et al.
Published: (2025)
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
by: Balepur, Nishant, et al.
Published: (2024)
by: Balepur, Nishant, et al.
Published: (2024)
How Syntax Specialization Emerges in Language Models
by: Duan, Xufeng, et al.
Published: (2025)
by: Duan, Xufeng, et al.
Published: (2025)
Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family
by: Lin, Yumeng, et al.
Published: (2025)
by: Lin, Yumeng, et al.
Published: (2025)
MacBehaviour: An R package for behavioural experimentation on large language models
by: Duan, Xufeng, et al.
Published: (2024)
by: Duan, Xufeng, et al.
Published: (2024)
Do large language models resemble humans in language use?
by: Cai, Zhenguang G., et al.
Published: (2023)
by: Cai, Zhenguang G., et al.
Published: (2023)
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
by: Wiegreffe, Sarah, et al.
Published: (2024)
by: Wiegreffe, Sarah, et al.
Published: (2024)
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration
by: Lee, Jaewook, et al.
Published: (2024)
by: Lee, Jaewook, et al.
Published: (2024)
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions
by: Wang, Xunzhi, et al.
Published: (2024)
by: Wang, Xunzhi, et al.
Published: (2024)
Polyglots or Multitudes? Multilingual LLM Answers to Value-laden Multiple-Choice Questions
by: Labat, Léo, et al.
Published: (2026)
by: Labat, Léo, et al.
Published: (2026)
More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering
by: Vu, Duc Anh, et al.
Published: (2025)
by: Vu, Duc Anh, et al.
Published: (2025)
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
by: Biancini, Giorgio, et al.
Published: (2025)
by: Biancini, Giorgio, et al.
Published: (2025)
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
by: Loginova, Olga, et al.
Published: (2024)
by: Loginova, Olga, et al.
Published: (2024)
A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
by: Khatun, Aisha, et al.
Published: (2024)
by: Khatun, Aisha, et al.
Published: (2024)
Difficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference Optimization
by: Tomikawa, Yuto, et al.
Published: (2025)
by: Tomikawa, Yuto, et al.
Published: (2025)
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education
by: Nguyen, Duc-Vu, et al.
Published: (2023)
by: Nguyen, Duc-Vu, et al.
Published: (2023)
Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation
by: Wang, Yifei, et al.
Published: (2025)
by: Wang, Yifei, et al.
Published: (2025)
Answer Matching Outperforms Multiple Choice for Language Model Evaluation
by: Chandak, Nikhil, et al.
Published: (2025)
by: Chandak, Nikhil, et al.
Published: (2025)
Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering
by: Molfese, Francesco Maria, et al.
Published: (2025)
by: Molfese, Francesco Maria, et al.
Published: (2025)
Hearing the Order: Investigating Position Bias in Large Audio-Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)
by: Lin, Yu-Xiang, et al.
Published: (2025)
Positional Bias in Binary Question Answering: How Uncertainty Shapes Model Preferences
by: Labruna, Tiziano, et al.
Published: (2025)
by: Labruna, Tiziano, et al.
Published: (2025)
Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
by: Ehsan, Md. Alvee, et al.
Published: (2025)
by: Ehsan, Md. Alvee, et al.
Published: (2025)
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
by: Tang, Xuemei, et al.
Published: (2024)
by: Tang, Xuemei, et al.
Published: (2024)
Question: How do Large Language Models perform on the Question Answering tasks? Answer:
by: Fischer, Kevin, et al.
Published: (2024)
by: Fischer, Kevin, et al.
Published: (2024)
Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models
by: Tian, Yu, et al.
Published: (2026)
by: Tian, Yu, et al.
Published: (2026)
Evaluating Nuanced Bias in Large Language Model Free Response Answers
by: Healey, Jennifer, et al.
Published: (2024)
by: Healey, Jennifer, et al.
Published: (2024)
Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
by: Zhong, Hanyang, et al.
Published: (2024)
by: Zhong, Hanyang, et al.
Published: (2024)
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
by: Bao, Qiming, et al.
Published: (2023)
by: Bao, Qiming, et al.
Published: (2023)
Large Language Models Are Not Robust Multiple Choice Selectors
by: Zheng, Chujie, et al.
Published: (2023)
by: Zheng, Chujie, et al.
Published: (2023)
When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension
by: Wu, Hanlin, et al.
Published: (2024)
by: Wu, Hanlin, et al.
Published: (2024)
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
by: Zhang, Yuhui, et al.
Published: (2025)
by: Zhang, Yuhui, et al.
Published: (2025)
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions
by: Zhou, Wenxin, et al.
Published: (2024)
by: Zhou, Wenxin, et al.
Published: (2024)
Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
by: Neumann, Anna, et al.
Published: (2025)
by: Neumann, Anna, et al.
Published: (2025)
Similar Items
-
Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
by: Tang, Xuemei, et al.
Published: (2024) -
HLB: Benchmarking LLMs' Humanlikeness in Language Use
by: Duan, Xufeng, et al.
Published: (2024) -
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
by: Li, Ruizhe, et al.
Published: (2024) -
SCALPEL: Selective Capability Ablation via Low-rank Parameter Editing for Large Language Model Interpretability Analysis
by: Fu, Zihao, et al.
Published: (2026) -
Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
by: Zhou, Xinyu, et al.
Published: (2024)