--- title: "Who cites Bias Runs Deep: Implicit — 79 citing papers" description: "79 papers of the Elamur Research library cite «Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs», found in their…" canonical: "https://research.elamur.ai/free/en/papers/gupta-2023-bias-runs-deep-implicit-reasoning/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/gupta-2023-bias-runs-deep-implicit-reasoning/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Bias Runs Deep: Implicit Reasoning Biases in…](https://md.research.elamur.ai/free/en/papers/gupta-2023-bias-runs-deep-implicit-reasoning/) / cited by # Who cites «Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs» 79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs»](https://md.research.elamur.ai/free/en/papers/gupta-2023-bias-runs-deep-implicit-reasoning/) 1. **[Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.*2024 · 179 citations* 2. [**From Persona to Personalization: A Survey on Role-Playing Language Agents arXiv:2404.18231**Jiangjie Chen, Xintao Wang, Rui Xu, et al.*2024 · 115 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/) 3. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/) 4. **[Benchmarking Distributional Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/meister-2025-benchmarking-distributional-alignment-large-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto*2025 · 35 citations* 5. [**Personality Alignment of Large Language Models arXiv:2408.11779**Minjun Zhu, Yixuan Weng, Linyi Yang, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-personality-alignment-large-language-models/) 6. **[LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs](https://md.research.elamur.ai/free/en/papers/long-2025-llms-are-biased-output-formats/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Do Xuan Long, Hai Nguyen Ngoc, Tiviatis Sim, et al.*2025 · 14 citations* 7. **[John vs. Ahmed: Debate-Induced Bias in Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/demidova-2024-john-vs-ahmed-debate-induced/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Anastasiia Demidova, Hanin Atwany, Nour Rabih, et al.*2024 · 14 citations* 8. [**PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models arXiv:2403.02246**Fiona Anting Tan, Gerard Christopher Yeo, Kokil Jaidka, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-phantom-persona-based-prompting-has/) 9. **[Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics](https://md.research.elamur.ai/free/en/papers/liu-2025-synthetic-socratic-debates-examining-persona/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiarui Liu, Yueqi Song, Yunze Xiao, et al.*2025 · 9 citations* 10. [**Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English arXiv:2503.04099**Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-disparities-llm-reasoning-accuracy-explanations/) 11. **[Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance](https://md.research.elamur.ai/free/en/papers/reusens-2025-native-design-bias-studying-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manon Reusens, Philipp Borchert, Jochen De Weerdt, et al.*2025 · 3 citations* 12. **[Persona Prompting as a Lens on LLM Social Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-persona-prompting-as-lens-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jing Yang, Moritz Hechtbauer, Elisabeth Khalilov, et al.*2026 · 2 citations* 13. **[Beyond Detection: Evaluating Fallacy Awareness of LLMs in Interactive Scenarios](https://md.research.elamur.ai/free/en/papers/niu-2026-beyond-detection-evaluating-fallacy-awareness/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Conghui Niu, Ningxin Wu, Ziran Zhao, et al.*2026* 14. **[Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs](https://md.research.elamur.ai/free/en/papers/williams-2026-beyond-marginal-distributions-framework-evaluate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tristan Williams, Franziska Weeber, Sebastian Padó, et al.*2026* 15. **[R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schelb, Orr Borin, David Garcia, et al.*2026* 16. **[Simulating Social Attitudes with LLMs: Accuracy, Demographic Effects, and Refusal Behavior in the Sensitive Domain of Suicide Prevention](https://md.research.elamur.ai/free/en/papers/perez-2026-simulating-social-attitudes-llms-accuracy/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Cristina J. Perez, Michael P. Vasquez Jr, Philippe Giabbanelli, et al.*2026* 63 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/gupta-2023-bias-runs-deep-implicit-reasoning/) — Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs