🔗 Who cites «Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles»

1. CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior TherapyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mian Zhang, Xianjun Yang, Xinlu Zhang, et al.2025 · 23 citations
2. LLMs Can Simulate Standardized Patients via Agent CoevolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuoyun Du, Lujie Zheng, Renjun Hu, et al.2025 · 20 citations
3. Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive DialoguesConference on Empirical Methods in Natural Language Processing (EMNLP)Jinfeng Zhou, Yuxuan Chen, Jianing Yin, et al.2025 · 10 citations
4. 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

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

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