🔗 Who cites «EmoBench: Evaluating the Emotional Intelligence of Large Language Models»

62 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← back to «EmoBench: Evaluating the Emotional Intelligence of Large Language Models»

1. Evaluating the Capabilities of Large Language Models for Multi-label Emotion UnderstandingInternational Conference on Computational Linguistics (COLING)Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.2025 · 52 citations
2. 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
3. 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
4. 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
5. Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language ModelsFindings of the Association for Computational LinguisticsBang Zhang, Ruotian Ma, Qingxuan Jiang, et al.2026 · 6 citations
6. 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
7. 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
8. RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue SystemsWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECAdarsh Srinivasan, Jacob Dineen, Muhammad Uzair Sarfraz, et al.2026 · 1 citation
9. A Unified View on Emotion Representation in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aishwarya Maheswaran, Maunendra Sankar Desarkar2026
10. 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
11. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsarXiv:2603.09993Jon Chun, Hannah Sussman, Adrian Mangine, et al.2026
12. Do Emotions Influence Moral Judgment in Large Language Models?Findings of the Association for Computational LinguisticsMohammad Saim, Tianyu Jiang2026
13. Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.2026
14. 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
15. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Heming Xia, Cunxiao Du, Rui Li, et al.2026
16. Tewodros at SemEval-2025 Task 11: Multilingual Emotion Intensity Detection using Small Language ModelsInternational Workshop on Semantic Evaluation (SemEval)Mikiyas Eyasu, Wendmnew Sitot Abebaw, Nida Hafeez, et al.2025

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

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