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. Adaptive Generation of Bias-Eliciting Questions for LLMs

    Oct 14, 2025Robin Staab, Jasper Dekoninck, Maximilian Baader +1Social Bias in Language ModelsLanguage Model Bias Evaluation

  2. ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios

    Oct 13, 2025Mahika Phutane, Hayoung Jung, Matthew Kim +2Intersectional Bias in Language ModelsSocial Bias in Language Models

  3. Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages

    Oct 6, 2025Tarek Naous, Anagha Savit, Carlos Rafael Catalan +17Multilingual Language Model EvaluationCultural Bias in Language Models

  4. Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators

    Sep 3, 2025Dani Roytburg, Matthew Bozoukov, Matthew Nguyen +3LLM-as-a-JudgeLanguage Model Steering

  5. Political Ideology Shifts in Large Language Models

    Aug 22, 2025Pietro Bernardelle, Stefano Civelli, Leon Fröhling +3Political Bias in Language ModelsLanguage Model Bias Evaluation

  6. BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Injection

    Aug 12, 2025Sekh Mainul Islam, Nadav Borenstein, Siddhesh Milind Pawar +3Social Bias in Language ModelsLLM Interpretability

  7. FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks

    Jan 9, 2025Yongkang Du, Jen-tse Huang, Jieyu Zhao +1Social Bias in Language ModelsAlgorithmic Fairness

  8. BTBR: A Bayesian-Theory-Driven Probabilistic-Fuzzy Framework for Implicit Bias Removal in Large Language Models

    Aug 20, 2024Yongxin Deng, Xiaoyu Tan, Jing Pan +3Social Bias in Language ModelsLanguage Model Bias Evaluation

  9. Fairness Definitions in Language Models Explained

    Jul 26, 2024Zhipeng Yin, Zichong Wang, Avash Palikhe +1Social Bias in Language ModelsDemographic Bias in Language Models

  10. MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

    Jun 11, 2024Vera Neplenbroek, Arianna Bisazza, Raquel FernándezSocial Bias in Language ModelsLanguage Model Bias Evaluation

  11. GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models

    Dec 11, 2023Jiaxu Zhao, Meng Fang, Shirui Pan +2Language Model Bias EvaluationAutomated Evaluation