🧑‍🔬 Who cites Musashi Hinck

124 citations of their works from 112 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Musashi Hinck

1. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsarXiv:2308.01263Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 244 citations
2. Measuring Political Bias in Large Language Models: What Is Said and How It Is SaidAnnual Meeting of the Association for Computational Linguistics (ACL)Yejin Bang, Delong Chen, Nayeon Lee, et al.2024 · 76 citations
3. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
4. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
5. Benchmarking Distributional Alignment of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto2025 · 35 citations
6. Biased LLMs can Influence Political Decision-MakingAnnual Meeting of the Association for Computational Linguistics (ACL)Jillian Fisher, Shangbin Feng, Robert Aron, et al.2025 · 20 citations
7. 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
8. Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?Conference on Empirical Methods in Natural Language Processing (EMNLP)Hua Shen, Nicholas Clark, Tanu Mitra2025 · 16 citations
9. Explainability and Interpretability of Multilingual Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Lucas Resck, Isabelle Augenstein, Anna Korhonen2025 · 11 citations
10. Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Berk Yoztyurk, Anna-Carolina Haensch, et al.2025 · 10 citations
11. Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
12. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
13. Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations
14. Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Franziska Weeber, Tanise Ceron, Sebastian Padó2026 · 4 citations
15. 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
16. 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
17. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
18. Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey ResponsesWorkshop on Natural Language Processing and Computational Social ScienceJens Rupprecht, Georg Ahnert, Markus Strohmaier2026 · 1 citation
19. The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Giuseppe Russo, Debora Nozza, Paul Röttger, et al.2026 · 1 citation
20. Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment PredictionWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisNils Schwager, Simon Münker, Alistair Plum, et al.2026 · 1 citation
21. \textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM PersonalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.2026
22. Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus TheoryFindings of the Association for Computational LinguisticsKrishna Pothugunta, John P. Lalor2026
23. Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response LengthsFindings of the Association for Computational LinguisticsInderjeet Jayakumar Nair, Lu Wang2026
24. From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public SectorarXiv:2608.17827Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026
25. News Credibility Assessment by LLMs and Humans: Implications for Political BiasWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisPia Wenzel Neves, Charlott Jakob, Vera Schmitt2026
26. R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language ModelsLanguage Resources and Evaluation Conference (LREC)Julian Schelb, Orr Borin, David Garcia, et al.2026
27. Teaching Values to Machines: Simulating Human-Like Behavior in LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Asaf Yehudai, Naama Rozen, Ariel Gera2026
28. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026

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