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Who cites Craig Pettit

358 citations of their works from 328 papers of our library (of the 149,439 whose bibliographies we read) · 122 with a page here, the most cited first · page 2 of 2 · 101–122 · ← Craig Pettit

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  1. 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
  2. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
  3. Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiayi Zhang, Shu Yang, Junchao Wu, et al.2026 · 1 citation
  4. Agentic Oversight via Dialectic ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Federico Ranaldi2026
  5. At Your Own PACE: A Causal Framework for Evaluating EQ in LLMsFindings of the Association for Computational LinguisticsLei Lyu, Shengling Wang, Ke Chao, et al.2026
  6. 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
  7. Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMsFindings of the Association for Computational LinguisticsArnav Attri, Anuj Attri2026
  8. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  9. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
  10. DialDefer: A Framework for Detecting and Mitigating LLM Dialogic DeferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.2026
  11. Evaluating Language Model Pluralism through In-the-wild Crowd DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.2026
  12. Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical EvidenceFindings of the Association for Computational LinguisticsKaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.2026
  13. Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden DeliberationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongwoo Ryu, Soomin Kim, Jinsu Eun, et al.2026
  14. Generalizing Trust: Weak-to-Strong Trustworthiness in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lillian Sun, Martin Pawelczyk, Zhenting Qi, et al.2026
  15. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Kewei Xu, Haoming Xu, et al.2026
  16. Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI DiscourseFindings of the Association for Computational LinguisticsHubert Plisiecki, Maria Leniarska, Jan Piotrowski, et al.2026
  17. MERIT Feedback Elicits Better Bargaining in LLM NegotiatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Jihwan Oh, Murad Aghazada, Yooju Shin, et al.2026
  18. NP-Hard Lower Bound Complexity for Semantic Self-VerificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Robin Young2026
  19. Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Kensuke Okada, Yui Furukawa, Kyosuke Bunji2026
  20. Teaching Values to Machines: Simulating Human-Like Behavior in LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Asaf Yehudai, Naama Rozen, Ariel Gera2026
  21. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
  22. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026

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