🧑‍🔬 Who cites Maja Mataric

118 citations of their works from 118 papers of our library (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← Maja Mataric

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. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
3. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
4. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
5. PersonaLLM: Investigating the Ability of Large Language Models to Express Personality TraitsFindings of the Association for Computational LinguisticsHang Jiang, Xiajie Zhang, Xubo Cao, et al.2023 · 211 citations
6. 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
7. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
8. Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural DimensionsInternational Conference on Computational Linguistics (COLING)Reem I. Masoud, Ziquan Liu, Martin Ferianc, et al.2025 · 74 citations
9. LLMs Know More Than They Show: On the Intrinsic Representation of LLM HallucinationsarXiv:2410.02707Hadas Orgad, Michael Toker, Zorik Gekhman, et al.2024 · 68 citations
10. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
11. BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded DataAnnual Meeting of the Association for Computational Linguistics (ACL)Wenkai Li, Jiarui Liu, Andy Liu, et al.2025 · 42 citations
12. DOSA: A Dataset of Social Artifacts from Different Indian Geographical SubculturesLanguage Resources and Evaluation Conference (LREC)Agrima Seth, Sanchit Ahuja, Kalika Bali, et al.2024 · 29 citations
13. Can Language Models Reason about Individualistic Human Values and Preferences?Annual Meeting of the Association for Computational Linguistics (ACL)Liwei Jiang, Taylor Sorensen, Sydney Levine, et al.2025 · 21 citations
14. PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language ModelsarXiv:2403.02246Fiona Anting Tan, Gerard Christopher Yeo, Kokil Jaidka, et al.2024 · 13 citations
15. Psychometric Alignment: Capturing Human Knowledge Distributions via Language ModelsarXiv:2407.15645Joy He-Yueya, Wanjing Anya Ma, Kanishk Gandhi, et al.2024 · 12 citations
16. Neural network embeddings recover value dimensions from psychometric survey items on par with human dataFindings of the Association for Computational LinguisticsMax Pellert, Clemens M Lechner, Indira Sen, et al.2026 · 2 citations
17. A Review of Incorporating Psychological Theories in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zizhou Liu, Ziwei Gong, Lin Ai, et al.2026 · 1 citation
18. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
19. Generative Personality Simulation via Theory-Informed Structured InterviewConference of the European Chapter of the Association for Computational Linguistics (EACL)Pengda Wang, Huiqi Zou, Han Jiang, et al.2026 · 1 citation
20. Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.2026
21. Context-Value-Action Architecture for Value-Driven Large Language Model AgentsFindings of the Association for Computational LinguisticsTianZe Zhang, Sirui Sun, Yuhang Xie, et al.2026
22. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
23. DPN-LE: Dual Personality Neuron Localization and Editing for Large Language ModelsFindings of the Association for Computational LinguisticsLifan Zheng, Xue Yang, Jiawei Chen, et al.2026
24. Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?Language Resources and Evaluation Conference (LREC)Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.2026
25. GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective TestingAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Wang, Shuang Wu, Bixuan Wang, et al.2026
26. HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive PatternsAnnual Meeting of the Association for Computational Linguistics (ACL)Xintao Wang, Jian Yang, Weiyuan Li, et al.2026
27. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
28. 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
29. Rethinking Role-Playing Evaluation: Anonymous Benchmarking and A Systematic Study of Personality EffectsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Ji-Lun Peng, Yun-Nung Chen2026
30. State vs. Trait Anxiety in Causal Language ModelsWorkshop on Social Context (SoCon) and the Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ LRECKarin Shistik, Idan-Chaim Cohen, Aviad Elyashar, et al.2026
31. 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

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