Imagen de Portada

From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cao, Linbo, Sun, Lihao, Yue, Yang
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dynamic Role Assignment for Multi-Agent Debate
por: Zhang, Miao, et al.
Publicado: (2026)

Systematic Biases in LLM Simulations of Debates
por: Taubenfeld, Amir, et al.
Publicado: (2024)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
por: Ye, Jiayi, et al.
Publicado: (2024)

Probing Association Biases in LLM Moderation Over-Sensitivity
por: Wang, Yuxin, et al.
Publicado: (2025)

Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents
por: Alvarez, Aitor Arronte, et al.
Publicado: (2026)

An Investigation of Linguistic Biases in LLM-Based Recommendations
por: Venkateswaran, Nitin, et al.
Publicado: (2026)

Split and Merge: Aligning Position Biases in LLM-based Evaluators
por: Li, Zongjie, et al.
Publicado: (2023)

MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments
por: Gao, Yicheng, et al.
Publicado: (2026)

Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
por: Zhong, Hanyang, et al.
Publicado: (2024)

Are Bias Evaluation Methods Biased ?
por: Berrayana, Lina, et al.
Publicado: (2025)

Do Biased Models Have Biased Thoughts?
por: Rajwal, Swati, et al.
Publicado: (2025)

"Who Am I, and Who Else Is Here?" Behavioral Differentiation Without Role Assignment in Multi-Agent LLM Systems
por: Kandoussi, Houssam EL
Publicado: (2026)

Neural Retrievers are Biased Towards LLM-Generated Content
por: Dai, Sunhao, et al.
Publicado: (2023)

Backtracking When It Strays: Mitigating Dual Exposure Biases in LLM Reasoning Distillation
por: Wang, Bing, et al.
Publicado: (2026)

Actions Speak Louder than Words: Agent Decisions Reveal Implicit Biases in Language Models
por: Li, Yuxuan, et al.
Publicado: (2025)

Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
por: GX-Chen, Anthony, et al.
Publicado: (2025)

Are Akpans Trick or Treat: Unveiling Helpful Biases in Assistant Systems
por: Sun, Jiao, et al.
Publicado: (2022)

Empirical Analysis of Decoding Biases in Masked Diffusion Models
por: Huang, Pengcheng, et al.
Publicado: (2025)

Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles
por: Jahara, Fatima, et al.
Publicado: (2025)

AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
por: Zhao, Xinjie, et al.
Publicado: (2025)

Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
por: Kumar, Shachi H, et al.
Publicado: (2024)

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
por: Yang, Haoming, et al.
Publicado: (2025)

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks
por: Cao, Linbo, et al.
Publicado: (2025)

A Comprehensive Evaluation of Cognitive Biases in LLMs
por: Malberg, Simon, et al.
Publicado: (2024)

Undesirable Biases in NLP: Addressing Challenges of Measurement
por: van der Wal, Oskar, et al.
Publicado: (2022)

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
por: Kuciński, Łukasz, et al.
Publicado: (2021)

The African Woman is Rhythmic and Soulful: An Investigation of Implicit Biases in LLM Open-ended Text Generation
por: Lim, Serene, et al.
Publicado: (2024)

From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
por: Luo, Jinghao, et al.
Publicado: (2026)

A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots
por: Sutcliffe, Richard
Publicado: (2023)

Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment
por: Vida, Karina, et al.
Publicado: (2024)

Multilingual Performance Biases of Large Language Models in Education
por: Gupta, Vansh, et al.
Publicado: (2025)

Mitigating Social Biases in Language Models through Unlearning
por: Dige, Omkar, et al.
Publicado: (2024)

Fine-grained Narrative Classification in Biased News Articles
por: Afroz, Zeba, et al.
Publicado: (2025)

Unveiling Divergent Inductive Biases of LLMs on Temporal Data
por: Kishore, Sindhu, et al.
Publicado: (2024)

Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
por: Mayilvaghanan, Kawin, et al.
Publicado: (2025)

AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
por: Chen, Nuo, et al.
Publicado: (2024)

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
por: Ghosh, Rajarshi, et al.
Publicado: (2025)

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
por: Zhang, Zhiwei, et al.
Publicado: (2025)

AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
por: Su, Zhe, et al.
Publicado: (2024)

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents
por: Wang, Haoyu, et al.
Publicado: (2025)