🔗 Who cites «The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation»

90 papers of our library cite it (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← back to «The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation»

1. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
2. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
3. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
4. Whose Opinions Do Language Models Reflect?arXiv:2303.17548Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 414 citations
5. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 272 citations
6. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsarXiv:2306.16388Esin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 270 citations
7. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionarXiv:2302.12173Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 239 citations
8. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
9. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
10. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 137 citations
11. Evaluating the Moral Beliefs Encoded in LLMsConference on Neural Information Processing Systems (NeurIPS)Nino Scherrer, Claudia Shi, Amir Feder, et al.2023 · 129 citations
12. InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological InterviewsAnnual Meeting of the Association for Computational Linguistics (ACL)Xintao Wang, Yunze Xiao, Jen-tse Huang, et al.2024 · 121 citations
13. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
14. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J Ryan, Alan Ritter, et al.2024 · 96 citations
15. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, et al.2024 · 96 citations
16. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
17. Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
18. Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMsTransactions of the Association for Computational Linguistics (TACL)Tanise Ceron, Neele Falk, Ana Barić, et al.2024 · 46 citations
19. Does GPT-4 surpass human performance in linguistic pragmatics?Humanities and Social Sciences CommunicationsLjubisa Bojic, Predrag Kovacevic, Milan Cabarkapa2023 · 23 citations
20. IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing AssistanceTransactions of the Association for Computational Linguistics (TACL)Paul Röttger, Musashi Hinck, Valentin Hofmann, et al.2026 · 16 citations
21. Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiarui Liu, Yueqi Song, Yunze Xiao, et al.2025 · 9 citations
22. Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency AnalysisarXiv:2311.08605David F. Jenny, Yann Billeter, Mrinmaya Sachan, et al.2023 · 6 citations
23. Framing Political Bias in Multilingual LLMs Across Pakistani LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Afrozah Nadeem, Mark Dras, Usman Naseem2026 · 4 citations
24. The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language ModelsFindings of the Association for Computational LinguisticsKonrad Löhr, Shuzhou Yuan, Michael Färber2026 · 2 citations
25. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
26. Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMsFindings of the Association for Computational LinguisticsTristan Williams, Franziska Weeber, Sebastian Padó, et al.2026
27. Reflexive Research with LLMs: Considering the Positionality of Users and SystemsShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECEleanor L.T. Smith, Luis Morgado da Costa, Antske Fokkens2026

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