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Machine Learning
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Fairness
3337 directly classified papers
Papers per year
2011: 1
2013: 3
2014: 2
2016: 6
2017: 30
2018: 65
2019: 182
2020: 239
2021: 373
2022: 456
2023: 533
2024: 648
2025: 644
2026: 155
Papers
AccessEval: Benchmarking Disability Bias in Large Language Models
EMNLP 2025
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models
EMNLP 2025
Tag-First: Mitigating Distributional Bias in Synthetic User Profiles through Controlled Attribute Generation
ACL 2025
Rethinking Prompt-based Debiasing in Large Language Model
ACL 2025
Africa Health Check: Probing Cultural Bias in Medical LLMs
EMNLP 2025
Hydrangea@DravidianLanTech2025: Abusive language Identification from Tamil and Malayalam Text using Transformer Models
NAACL 2025
Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items
ACL 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models
ICCV 2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
EMNLP 2025
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization
EMNLP 2025
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
CVPR 2025
Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures
ACL 2025
Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
ACL 2025
Measuring and Mitigating Media Outlet Name Bias in Large Language Models
EMNLP 2025
Diversity-oriented Data Augmentation with Large Language Models
ACL 2025
LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model
EMNLP 2025
A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations
EMNLP 2025
The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
ACL 2025
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
ACL 2025
Social Bias in Multilingual Language Models: A Survey
EMNLP 2025
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
ACL 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models
ACL 2025
Adapting Bias Evaluation to Domain Contexts using Generative Models
EMNLP 2025
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