% Key papers for Bias measurement and mitigation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2021_towards_40051,
  title = {{Towards Understanding and Mitigating Social Biases in Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9611},
}

@inproceedings{icml2023_whose_41663,
  title = {{Whose Opinions Do Language Models Reflect?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24316},
}

@inproceedings{neurips2019_assessing_57916,
  title = {{Assessing Social and Intersectional Biases in Contextualized Word Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14618},
}

@inproceedings{aaai2016_discovering_105239,
  title = {{Discovering User Attribute Stylistic Differences via Paraphrasing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10393},
}

@inproceedings{neurips2021_bias_61682,
  title = {{Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26311},
}

@inproceedings{aaai2020_fuzze_100261,
  title = {{FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5434},
}

@inproceedings{aaai2025_bias_8265,
  title = {{Bias Unveiled: Investigating Social Bias in LLM-Generated Code}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34961},
}

@inproceedings{icml2024_large_45536,
  title = {{Large Language Models are Geographically Biased}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32916},
}

@inproceedings{aaai2023_deep_3426,
  title = {{Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26706},
}

@inproceedings{iclr2024_bias_35087,
  title = {{Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17986},
}

@inproceedings{aaai2024_socialstigmaqa_7364,
  title = {{SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30142},
}

@inproceedings{iclr2025_prompting_80935,
  title = {{Prompting Fairness: Integrating Causality to Debias Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30833},
}

@inproceedings{neurips2023_uncovering_67231,
  title = {{Uncovering and Quantifying Social Biases in Code Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72484},
}

@inproceedings{neurips2024_probing_71764,
  title = {{Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95525},
}

@inproceedings{neurips2023_ecosystem_67385,
  title = {{Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72344},
}

@inproceedings{neurips2024_bias_74168,
  title = {{Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://openreview.net/forum?id=smxQvTmdGS},
}

@inproceedings{neurips2025_artificial_79748,
  title = {{Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=saDOrrnNTz},
}

@inproceedings{iclr2025_certifying_81550,
  title = {{Certifying Counterfactual Bias in LLMs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30226},
}

@inproceedings{aaai2025_exploring_9085,
  title = {{Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35329},
}

@inproceedings{iclr2024_are_35562,
  title = {{Are Models Biased on Text without Gender-related Language?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17511},
}

@inproceedings{aaai2025_investigating_9603,
  title = {{Investigating and Mitigating Undesirable Biases in Large Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35214},
}

@inproceedings{aaai2025_razor_10435,
  title = {{RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34754},
}

@inproceedings{aaai2025_when_11292,
  title = {{When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35308},
}

@inproceedings{icml2025_generative_46597,
  title = {{Generative Social Choice: The Next Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45972},
}

@inproceedings{iclr2024_denevil_35163,
  title = {{DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17910},
}

@inproceedings{icml2025_raising_45859,
  title = {{Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46684},
}

@inproceedings{icml2026_adaptive_50481,
  title = {{Adaptive Generation of Bias-Eliciting Questions for LLMs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ClqjnEbUC5},
}

@inproceedings{icml2026_knowing_50517,
  title = {{Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=D9g1RjORI7},
}

@inproceedings{icml2026_old_53850,
  title = {{Old Habits Die Hard: How Conversational History Geometrically Traps LLMs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=jNhEZteJfq},
}