Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhong, Hanyang, Wang, Liman, Cao, Wenting, Sun, Zeyuan |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
LLM-SAP: Large Language Models Situational Awareness Based Planning
par: Wang, Liman, et autres
Publié: (2023)
par: Wang, Liman, et autres
Publié: (2023)
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
par: Sumita, Yasuaki, et autres
Publié: (2024)
par: Sumita, Yasuaki, et autres
Publié: (2024)
Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models
par: Tian, Yu, et autres
Publié: (2026)
par: Tian, Yu, et autres
Publié: (2026)
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
par: Bao, Qiming, et autres
Publié: (2023)
par: Bao, Qiming, et autres
Publié: (2023)
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
par: Biancini, Giorgio, et autres
Publié: (2025)
par: Biancini, Giorgio, et autres
Publié: (2025)
Differentiating Choices via Commonality for Multiple-Choice Question Answering
par: Deng, Wenqing, et autres
Publié: (2024)
par: Deng, Wenqing, et autres
Publié: (2024)
FENet: Focusing Enhanced Network for Lane Detection
par: Wang, Liman, et autres
Publié: (2023)
par: Wang, Liman, et autres
Publié: (2023)
A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
par: Khatun, Aisha, et autres
Publié: (2024)
par: Khatun, Aisha, et autres
Publié: (2024)
Large Language Models for Multi-Choice Question Classification of Medical Subjects
par: Ponce-López, Víctor
Publié: (2024)
par: Ponce-López, Víctor
Publié: (2024)
Self-Correcting Large Language Models: Generation vs. Multiple Choice
par: Rahmani, Hossein A., et autres
Publié: (2025)
par: Rahmani, Hossein A., et autres
Publié: (2025)
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong
par: Fu, Tairan, et autres
Publié: (2025)
par: Fu, Tairan, et autres
Publié: (2025)
(Ir)rationality and Cognitive Biases in Large Language Models
par: Macmillan-Scott, Olivia, et autres
Publié: (2024)
par: Macmillan-Scott, Olivia, et autres
Publié: (2024)
Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models
par: Anantaprayoon, Panatchakorn, et autres
Publié: (2025)
par: Anantaprayoon, Panatchakorn, et autres
Publié: (2025)
Cognitive Biases in Large Language Models for News Recommendation
par: Lyu, Yougang, et autres
Publié: (2024)
par: Lyu, Yougang, et autres
Publié: (2024)
Question Difficulty Ranking for Multiple-Choice Reading Comprehension
par: Raina, Vatsal, et autres
Publié: (2024)
par: Raina, Vatsal, et autres
Publié: (2024)
Mitigating Social Biases in Language Models through Unlearning
par: Dige, Omkar, et autres
Publié: (2024)
par: Dige, Omkar, et autres
Publié: (2024)
Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
par: Cao, Han, et autres
Publié: (2024)
par: Cao, Han, et autres
Publié: (2024)
Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models
par: Şakiroğlu, Mehmet Can, et autres
Publié: (2026)
par: Şakiroğlu, Mehmet Can, et autres
Publié: (2026)
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
par: Palta, Shramay, et autres
Publié: (2024)
par: Palta, Shramay, et autres
Publié: (2024)
Large Language Models are Biased Because They Are Large Language Models
par: Resnik, Philip
Publié: (2024)
par: Resnik, Philip
Publié: (2024)
Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
par: Christian, Brian, et autres
Publié: (2026)
par: Christian, Brian, et autres
Publié: (2026)
Collaboration among Multiple Large Language Models for Medical Question Answering
par: Shang, Kexin, et autres
Publié: (2025)
par: Shang, Kexin, et autres
Publié: (2025)
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions
par: Moore, Steven, et autres
Publié: (2024)
par: Moore, Steven, et autres
Publié: (2024)
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
par: Shirafuji, Daiki, et autres
Publié: (2024)
par: Shirafuji, Daiki, et autres
Publié: (2024)
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
par: Lee, Yooseop, et autres
Publié: (2025)
par: Lee, Yooseop, et autres
Publié: (2025)
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
par: Sun, Guohao, et autres
Publié: (2024)
par: Sun, Guohao, et autres
Publié: (2024)
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
par: Zhang, Yuhui, et autres
Publié: (2025)
par: Zhang, Yuhui, et autres
Publié: (2025)
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
par: Wiegreffe, Sarah, et autres
Publié: (2024)
par: Wiegreffe, Sarah, et autres
Publié: (2024)
Benchmarking Cognitive Biases in Large Language Models as Evaluators
par: Koo, Ryan, et autres
Publié: (2023)
par: Koo, Ryan, et autres
Publié: (2023)
Biomedical Entity Linking as Multiple Choice Question Answering
par: Lin, Zhenxi, et autres
Publié: (2024)
par: Lin, Zhenxi, et autres
Publié: (2024)
Option-ID Based Elimination For Multiple Choice Questions
par: Zhu, Zhenhao, et autres
Publié: (2025)
par: Zhu, Zhenhao, et autres
Publié: (2025)
FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
par: Viswanath, Hrishikesh, et autres
Publié: (2023)
par: Viswanath, Hrishikesh, et autres
Publié: (2023)
Locating and Mitigating Gender Bias in Large Language Models
par: Cai, Yuchen, et autres
Publié: (2024)
par: Cai, Yuchen, et autres
Publié: (2024)
CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
par: Nguyen, Son The, et autres
Publié: (2024)
par: Nguyen, Son The, et autres
Publié: (2024)
Multilingual Performance Biases of Large Language Models in Education
par: Gupta, Vansh, et autres
Publié: (2025)
par: Gupta, Vansh, et autres
Publié: (2025)
Response Generation for Cognitive Behavioral Therapy with Large Language Models: Comparative Study with Socratic Questioning
par: Izumi, Kenta, et autres
Publié: (2024)
par: Izumi, Kenta, et autres
Publié: (2024)
Conformal P-Value in Multiple-Choice Question Answering Tasks with Provable Risk Control
par: Ye, Yuanchang
Publié: (2025)
par: Ye, Yuanchang
Publié: (2025)
From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness
par: Cao, Linbo, et autres
Publié: (2026)
par: Cao, Linbo, et autres
Publié: (2026)
MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
par: Wang, Liman, et autres
Publié: (2025)
par: Wang, Liman, et autres
Publié: (2025)
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
par: Yang, Haoming, et autres
Publié: (2025)
par: Yang, Haoming, et autres
Publié: (2025)
Documents similaires
-
LLM-SAP: Large Language Models Situational Awareness Based Planning
par: Wang, Liman, et autres
Publié: (2023) -
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
par: Sumita, Yasuaki, et autres
Publié: (2024) -
Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models
par: Tian, Yu, et autres
Publié: (2026) -
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
par: Bao, Qiming, et autres
Publié: (2023) -
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
par: Biancini, Giorgio, et autres
Publié: (2025)