Language Model Bias Evaluation

Overview

Language model bias evaluation studies whether models systematically treat people, viewpoints, or information differently, and whether those differences cause harm in settings such as hiring, healthcare, education, and automated judging. Researchers use controlled counterfactual prompts and minimal-pair or stereotype benchmarks such as BBQ, alongside open-ended, multilingual, multimodal, and multi-turn tests that better reflect real interactions. Analyses range from output comparisons and human-validated benchmarks to probes of internal representations; mitigation includes prompting, fine-tuning, and activation steering. A central challenge is that measured bias changes with wording, answer format, language, and task, while reducing one disparity can hide or worsen another, so reliable evaluation must test multiple contexts and preserve task performance.

Latest papers

CardsList

497 papers54 papers in the last four weeks, level with the four weeks before. 0.3% of all new papers.

  1. Implicit Grading Bias in Large Language Models: How Writing Style Affects Automated Assessment Across Math, Programming, and Essay Tasks

    Mar 19, 2026Rudra Jadhav, Janhavi Danve, Sonalika ShawLanguage Model Bias EvaluationLinguistic Bias in Language Models

  2. When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making

    Mar 19, 2026Abhinaba Basu, Pavan ChakrabortyOwnership Bias in Language ModelsLanguage Model Bias Evaluation

  3. Auditing Preferences for Brands and Cultures in LLMs

    Mar 18, 2026Jasmine Rienecker, Katarina Mpofu, Naman Goel +4Jurisdictional Bias in Language ModelsLLM Auditing

  4. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures

    Mar 18, 2026Chiara Manna, Hosein Mohebbi, Afra Alishahi +2Gender Bias in Language ModelsLanguage Model Bias Evaluation

  5. Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models

    Mar 18, 2026Amr Eleraqi, Hager H. Mustafa, Abdul Hadi N. AhmedSentiment AnalysisLanguage Model Bias Evaluation

  6. LLM Nepotism in Organizational Governance

    Mar 18, 2026Shunqi Mao, Wei Guo, Dingxin Zhang +2Algorithmic BiasSocial Bias in Language Models

  7. Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences)

    Mar 18, 2026Zichen Tang, Zirui Zhang, Qian Wang +3Large Language Model-Based RecommendationLLM Agent Reliability

  8. A Representation-Level Assessment of Bias Mitigation in Foundation Models

    Mar 17, 2026Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly +1Gender Bias in Language ModelsSocial Bias in Language Models

  9. Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models

    Mar 16, 2026Nandini Arimanda, Achyuth Mukund, Sakthi Balan Muthiah +1Intersectional Bias in Language ModelsSocial Bias in Language Models

  10. The Hrunting of AI: Where and How to Improve English Dialectal Fairness

    Mar 16, 2026Wei Li, Adrian de WynterLinguistic Bias in Language ModelsLanguage Model Bias Evaluation

  11. The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments

    Mar 16, 2026Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou +4Political Bias in Language ModelsRetrieval-Augmented Generation

  12. The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs

    Mar 15, 2026Shree Harsha Bokkahalli Satish, Christoph Minixhofer, Maria Teleki +5Intersectional Bias in Language ModelsLanguage Model Bias Evaluation

  13. Large Language Models Reproduce Racial Stereotypes When Used for Text Annotation

    Mar 14, 2026Petter TörnbergSocial Bias in Language ModelsDemographic Bias in Language Models

  14. Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs

    Mar 13, 2026Gustavo Lúcius Fernandes, Jeiverson C. V. M. Santos, Pedro O. S. Vaz-de-MeloSocial Bias in Language ModelsGender Bias in Language Models

  15. SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models

    Mar 13, 2026Aditya Maheshwari, Amit Gajkeshwar, Kaushal Sharma +1Social Bias in Language ModelsLanguage Model Bias Evaluation

  16. LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation

    Mar 12, 2026Himel Ghosh, Nick Elias WernerLanguage Model Bias EvaluationLLM Evaluation

  17. Gender Bias in Generative AI-assisted Recruitment Processes

    Mar 12, 2026Martina Ullasci, Marco Rondina, Riccardo Coppola +1AI and LaborGender Bias in Language Models

  18. MultiwayPAM: Multiway Partitioning Around Medoids for LLM-as-a-Judge Score Analysis

    Mar 11, 2026Chihiro Watanabe, Jingyu SunLLM-as-a-JudgeClustering

  19. Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs

    Mar 10, 2026Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal +1Moral Reasoning in Language ModelsLanguage Model Bias Evaluation

  20. Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health

    Mar 10, 2026Trung Hieu Ngo, Adrien Bazoge, Solen Quiniou +2Intersectional Bias in Language ModelsSocial Bias in Language Models

  21. Bioalignment: Measuring and Improving LLM Disposition Toward Biological Systems for AI Safety

    Mar 10, 2026Trent R Northen, Mingxun WangLLM AlignmentLLM Safety

  22. Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager

    Mar 10, 2026Nina Gerszberg, Janka Hamori, Andrew LoGender Bias in Language ModelsAlgorithmic Bias

  23. Towards a more efficient bias detection in financial language models

    Mar 9, 2026Firas Hadj Kacem, Ahmed Khanfir, Mike PapadakisFinancial Language Model EvaluationIntersectional Bias in Language Models

  24. Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization

    Mar 9, 2026Hongli Zhou, Hui Huang, Rui Zhang +5LLM-as-a-JudgeSocial Bias in Language Models

  25. Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context

    Mar 8, 2026Ashish Pandey, Tek Raj ChhetriSocial Bias in Language ModelsCultural Bias in Language Models

  26. Writing literature reviews with AI: principles, hurdles and some lessons learned

    Mar 8, 2026Saadi Lahlou, Annabelle Gouttebroze, Atrina Oraee +1LLM SycophancyLLM Evaluation

  27. Rigidity in LLM Bandits with Implications for Human-AI Dyads

    Mar 8, 2026Haomiaomiao Wang, Tomás E Ward, Lili ZhangLLM Decision-MakingLanguage Model Bias Evaluation

  28. Abductive Reasoning with Syllogistic Forms in Large Language Models

    Mar 6, 2026Hirohiko Abe, Risako Ando, Takanobu Morishita Kentaro Ozeki +2Abductive Reasoning in Language ModelsAbductive Reasoning