Cover Image

Cognitive Bias in Decision-Making with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Echterhoff, Jessica, Liu, Yao, Alessa, Abeer, McAuley, Julian, He, Zexue
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantifying Cognitive Bias Induction in LLM-Generated Content
by: Alessa, Abeer, et al.
Published: (2025)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
by: Yoon, Se-eun, et al.
Published: (2024)

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)

BiasEdit: Debiasing Stereotyped Language Models via Model Editing
by: Xu, Xin, et al.
Published: (2025)

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
by: Hu, Yuanzhe, et al.
Published: (2025)

Learning to Hint for Reinforcement Learning
by: Xia, Yu, et al.
Published: (2026)

LVCHAT: Facilitating Long Video Comprehension
by: Wang, Yu, et al.
Published: (2024)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
by: Xia, Yu, et al.
Published: (2024)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
by: Huang, Chengkai, et al.
Published: (2024)

Large Scale Knowledge Washing
by: Wang, Yu, et al.
Published: (2024)

Pctx: Tokenizing Personalized Context for Generative Recommendation
by: Zhong, Qiyong, et al.
Published: (2025)

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
by: He, Zhankui, et al.
Published: (2024)

Pluralistic Off-policy Evaluation and Alignment
by: Huang, Chengkai, et al.
Published: (2025)

Forecasting Live Chat Intent from Browsing History
by: Yoon, Se-eun, et al.
Published: (2024)

ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
by: Xu, Xin, et al.
Published: (2026)

How to Train Data-Efficient LLMs
by: Sachdeva, Noveen, et al.
Published: (2024)

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory
by: He, Zexue, et al.
Published: (2024)

Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism
by: Zhang, Haoxiang, et al.
Published: (2026)

Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
by: Yu, Sheldon, et al.
Published: (2025)

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
by: Yan, An, et al.
Published: (2024)

Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations
by: Wu, Yihao, et al.
Published: (2025)

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
by: Kim, Yubin, et al.
Published: (2024)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
by: Yang, Dayu, et al.
Published: (2025)

Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making
by: Wang, Yihan, et al.
Published: (2025)

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
by: Huang, Jen-tse, et al.
Published: (2024)

Large Language Models and Causal Inference in Collaboration: A Survey
by: Liu, Xiaoyu, et al.
Published: (2024)

Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation
by: Yoon, Se-eun, et al.
Published: (2024)

Cognitive LLMs: Towards Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making
by: Wu, Siyu, et al.
Published: (2024)

Beyond MedQA: Towards Real-world Clinical Decision Making in the Era of LLMs
by: Xiao, Yunpeng, et al.
Published: (2025)

Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
by: Lee, Sangyub, et al.
Published: (2026)

LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
by: Cheng, Xiang, et al.
Published: (2025)

DeFine: Decision-Making with Analogical Reasoning over Factor Profiles
by: Hu, Yebowen, et al.
Published: (2024)

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
by: Peña, Alejandro, et al.
Published: (2025)

Towards LifeSpan Cognitive Systems
by: Wang, Yu, et al.
Published: (2024)

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
by: Shrivastava, Aryan, et al.
Published: (2024)

STRUX: An LLM for Decision-Making with Structured Explanations
by: Lu, Yiming, et al.
Published: (2024)

CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning
by: Wang, Boyang, et al.
Published: (2025)

GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2025)

Capturing Bias Diversity in LLMs
by: Gosavi, Purva Prasad, et al.
Published: (2024)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
by: Li, Manling, et al.
Published: (2024)