---
title: "Who cites Roleplay-doh: Enabling — 31 citing papers"
description: "31 papers of the Elamur Research library cite «Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Roleplay-doh: Enabling Domain-Experts to Create…](https://md.research.elamur.ai/free/en/papers/louie-2024-roleplay-doh-enabling-domain-experts/) / cited by

# 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) · 9 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»](https://md.research.elamur.ai/free/en/papers/louie-2024-roleplay-doh-enabling-domain-experts/)

1. **[CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy](https://md.research.elamur.ai/free/en/papers/zhang-2025-cbt-bench-evaluating-large-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mian Zhang, Xianjun Yang, Xinlu Zhang, et al.*2025 · 23 citations*
2. **[LLMs Can Simulate Standardized Patients via Agent Coevolution](https://md.research.elamur.ai/free/en/papers/du-2025-llms-can-simulate-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuoyun Du, Lujie Zheng, Renjun Hu, et al.*2025 · 20 citations*
3. **[Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues](https://md.research.elamur.ai/free/en/papers/zhou-2025-crisp-cognitive-restructuring-negative-thoughts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-sentient-agent-as-judge-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bang Zhang, Ruotian Ma, Qingxuan Jiang, et al.*2026 · 6 citations*
5. **[Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-prompt-fine-grained-simulation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weikang Zhang, Zimo Zhu, Zhichuan Yang, et al.*2026*
6. **[LLM-Based Multi-Agent Systems for Clinical Workflows: A Survey of AI Hospitals](https://md.research.elamur.ai/free/en/papers/yao-2026-llm-based-multi-agent-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zonghai Yao, Hong yu*2026*
7. **[METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues](https://md.research.elamur.ai/free/en/papers/yang-2026-metro-strategy-induction-expert-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haofu Yang, Jiaji Liu, Chen Huang, et al.*2026*
8. **[PUPPET: Neural-Symbolic Standardized Patients for Mental Health](https://md.research.elamur.ai/free/en/papers/xu-2026-puppet-neural-symbolic-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Xu, Yu Ji, Zhenyu Lyu, et al.*2026*
9. **[Simple Role Assignment is Extraordinarily Effective for Safety Alignment](https://md.research.elamur.ai/free/en/papers/ziheng-2026-simple-role-assignment-is-extraordinarily/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhou Ziheng, Jiakun Ding, Zhaowei Zhang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/louie-2024-roleplay-doh-enabling-domain-experts/) — Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles