🔗 Who cites «ToMBench: Benchmarking Theory of Mind in Large Language Models»

52 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «ToMBench: Benchmarking Theory of Mind in Large Language Models»

1. Theory of Mind in Large Language Models: Assessment and EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Ruirui Chen, Weifeng Jiang, Chengwei Qin, et al.2025 · 16 citations
2. Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiao, Jiashuo Wang, Qiancheng Xu, et al.2025 · 8 citations
3. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Liu, Siya Qi, Xinyu Wang, et al.2025 · 7 citations
4. 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
5. MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Hepeng Wang, Xiao Ding, et al.2026 · 1 citation
6. Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection GamesFindings of the Association for Computational LinguisticsKaleen Shrestha, Abhinav Gupta, Harish Dukkipati, et al.2026
7. Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief TaskFindings of the Association for Computational LinguisticsSneheel Sarangi, Hanan Salam2026
8. Danger Depends on the Mind: A Theory-of-Mind Grounded Dataset and Model for Context-Dependent Dangerous SpeechFindings of the Association for Computational LinguisticsYuanchen Shi, Longyin Zhang, Guodong Zhou, et al.2026
9. GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Weidong Tang, Jierui Li, Yueling Hou, et al.2026
10. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
11. 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
12. Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language ModelsFindings of the Association for Computational LinguisticsKazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.2026
13. ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood ModelFindings of the Association for Computational LinguisticsRuirui Wang, Haoran Zhang, Tian Lan, et al.2026

39 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/chen-2024-tombench-benchmarking-theory-mind-large/cited-by/