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. An Independent Safety Evaluation of Kimi K2.5

    Apr 3, 2026Zheng-Xin Yong, Parv Mahajan, Andy Wang +12Language Model Safety EvaluationLLM Security

  2. Sociodemographic Biases in Educational Counselling by Large Language Models

    Apr 3, 2026Tomasz Adamczyk, Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar +6Demographic Bias in Language ModelsLanguage Model Bias Evaluation

  3. Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models

    Apr 2, 2026Ayush Rajesh Jhaveri, Anthony GX-Chen, Ilia Sucholutsky +1Language Model Bias Evaluation

  4. ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues

    Apr 2, 2026Bhaskara Hanuma Vedula, Darshan Anghan, Ishita Goyal +2Social Bias in Language ModelsLanguage Model Bias Evaluation

  5. Shiny Stories, Hidden Struggles: Investigating the Representation of Disability Through the Lens of LLMs

    Apr 2, 2026Marco Bombieri, Simone Paolo Ponzetto, Marco RospocherSocial Bias in Language ModelsLanguage Model Bias Evaluation

  6. CogBias: Measuring and Mitigating Cognitive Bias in Large Language Models

    Apr 1, 2026Fan Huang, Songheng Zhang, Haewoon Kwak +1Cognitive Bias in Language ModelsLanguage Model Bias Evaluation

  7. A Japanese Benchmark for Evaluating Social Bias in Reasoning Based on Attribution Theory

    Apr 1, 2026Taihei Shiotani, Masahiro Kaneko, Naoaki OkazakiSocial Bias in Language ModelsLanguage Model Bias Evaluation

  8. LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias

    Mar 31, 2026Filip J. Kucia, Anirban Chakraborty, Anna WróblewskaAutomated Essay ScoringLanguage Model Bias Evaluation

  9. Sima AIunty: Caste Audit in LLM-Driven Matchmaking

    Mar 31, 2026Atharva Naik, Shounok Kar, Varnika Sharma +2Social Bias in Language ModelsCultural Bias in Language Models

  10. TailNLG: A Multilingual Benchmark Addressing Verbalization of Long-Tail Entities

    Mar 29, 2026Lia Draetta, Michael Oliverio, Virginia Ramón-Ferrer +6Text GenerationLanguage Model Bias Evaluation

  11. Limited Stereotype Control Through Routing Reweighting in MoE Language Models

    Mar 28, 2026Junhyeok Lee, Han Jang, Kyu Sung ChoiSocial Bias in Language ModelsDemographic Bias in Language Models

  12. AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese

    Mar 27, 2026Afonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos +19Portuguese Language ModelsLLM Training

  13. Comparing Developer and LLM Biases in Code Evaluation

    Mar 25, 2026Aditya Mittal, Ryan Shar, Zichu Wu +6Bias in LLM-as-a-JudgeLanguage Model Bias Evaluation

  14. Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias

    Mar 25, 2026Mahdi Dehghan, Graham McDonaldGroup FairnessAlgorithmic Fairness

  15. Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study

    Mar 25, 2026Nour Bouchouchi, Thibault Laugel, Xavier Renard +3Gender Bias in Language ModelsLLM Alignment

  16. PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay

    Mar 25, 2026Rohan Khetan, Ashna KhetanPolitical Bias in Language ModelsLanguage Model Bias Evaluation

  17. LLMs Do Not Grade Essays Like Humans

    Mar 24, 2026Jerin George Mathew, Sumayya Taher, Anindita Kundu +1Automated Essay ScoringLLM-as-a-Judge

  18. Failure of contextual invariance in large language models

    Mar 24, 2026Sagar Kumar, Ariel Flint, Luca Maria Aiello +1Language Model Bias EvaluationGender Bias in Language Models

  19. CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs

    Mar 23, 2026Ravi Ranjan, Utkarsh Grover, Mayur Akewar +2Language Model DebiasingSocial Bias in Language Models

  20. Benchmarking Bengali Dialectal Bias: A Multi-Stage Framework Integrating RAG-Based Translation and Human-Augmented RLAIF

    Mar 22, 2026K. M. Jubair Sami, Dipto Sumit, Ariyan Hossain +1Social Bias in Language ModelsDialect Bias in Language Models

  21. Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO

    Mar 22, 2026Jinquan Zheng, Jia Yuan, Jiacheng Yao +3Group Relative Policy OptimizationPermutation-Invariant Learning

  22. JUBAKU: An Adversarial Benchmark for Exposing Culturally Grounded Stereotypes in Japanese LLMs

    Mar 21, 2026Taihei Shiotani, Masahiro Kaneko, Ayana Niwa +4Cultural Bias in Language ModelsLanguage Model Bias Evaluation

  23. From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interaction

    Mar 19, 2026Shree Harsha Bokkahalli Satish, Maria Teleki, Christoph Minixhofer +3Intersectional Bias in Language ModelsLanguage Model Bias Evaluation