Social Bias in Language Models

Overview

This topic studies how language models reflect or produce social disparities tied to traits such as gender, race, disability, religion, class, and language variety, in both text generation and consequential tasks. Researchers use counterfactual prompts, stereotype and decision-making benchmarks, human and community judgments, and audits across languages, dialects, modalities, and multi-turn interactions. Mitigation approaches include data augmentation and fine-tuning, prompting and retrieval, decoding-time controls, and interventions on model weights or internal representations. A central challenge is that measured bias changes with the task and context, while interventions can reduce visible disparities without removing underlying associations or can shift harms and degrade useful capabilities.

Latest papers

CardsList

200 papers21 papers in the last four weeks, down 9% on the four weeks before. 0.1% of all new papers.

  1. Cross-Lingual Sentiment Misalignment: Auditing Multilingual Language Models for Inversion Risk, Dialectal Representation, and Affective Stability

    Feb 19, 2026Nusrat Jahan Lia, Shubhashis Roy DiptaDialect Bias in Language ModelsCross-Lingual Consistency in Language Models

  2. Robust Bias Evaluation with FilBBQ: A Filipino Bias Benchmark for Question-Answering Language Models

    Feb 16, 2026Lance Calvin Lim Gamboa, Yue Feng, Mark LeeSocial Bias in Language ModelsLanguage Model Bias Evaluation

  3. Investigating Social Bias Changes in Quantized Language Models

    Feb 5, 2026Stanley Z. Hua, Sanae Lotfi, Irene Y. ChenLLM QuantizationSocial Bias in Language Models

  4. Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement

    Jan 29, 2026Jinhao Pan, Chahat Raj, Anjishnu Mukherjee +4Debiased MLSocial Bias in Language Models

  5. White-Box Sensitivity Auditing with Steering Vectors

    Jan 23, 2026Hannah Cyberey, Yangfeng Ji, David EvansAlgorithmic AuditingLLM Auditing

  6. Adaptive Generation of Bias-Eliciting Questions for LLMs

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

  7. 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

  8. Fair-GPTQ: Bias-Aware Quantization for Large Language Models

    Sep 18, 2025Irina Proskurina, Guillaume Metzler, Julien VelcinLLM QuantizationSocial Bias in Language Models

  9. 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

  10. 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

  11. 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

  12. BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models

    Aug 8, 2024Yupeng Chang, Yi Chang, Yuan WuSocial Bias in Language ModelsLow-Rank Adaptation

  13. Fairness Definitions in Language Models Explained

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

  14. 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

  15. General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level

    Nov 23, 2023Bingkang Shi, Xiaodan Zhang, Dehan Kong +4Gender Bias in Language ModelsDebiased ML