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Fairness

3337 directly classified papers

Papers per year

Papers

Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets EMNLP 2025
Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency EMNLP 2025
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation EMNLP 2025
From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test EMNLP 2025
TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation EMNLP 2025
Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis EMNLP 2025
HESEIA: A community-based dataset for evaluating social biases in large language models, co-designed in real school settings in Latin America EMNLP 2025
SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models EMNLP 2025
Trustworthy Medical Question Answering: An Evaluation-Centric Survey EMNLP 2025
Social Bias in Multilingual Language Models: A Survey EMNLP 2025
Adapting Bias Evaluation to Domain Contexts using Generative Models EMNLP 2025
VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model EMNLP 2025
Measuring and Mitigating Media Outlet Name Bias in Large Language Models EMNLP 2025
A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations EMNLP 2025
A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications EMNLP 2025
EuroGEST: Investigating gender stereotypes in multilingual language models EMNLP 2025
Africa Health Check: Probing Cultural Bias in Medical LLMs EMNLP 2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms EMNLP 2025
AccessEval: Benchmarking Disability Bias in Large Language Models EMNLP 2025
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models EMNLP 2025
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization EMNLP 2025
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification EMNLP 2025
On the Role of Speech Data in Reducing Toxicity Detection Bias NAACL 2025
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users EMNLP 2025
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education NAACL 2025