--- title: "Who cites CharacterEval: A Chinese — 74 citing papers" description: "74 papers of the Elamur Research library cite «CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation»…" canonical: "https://research.elamur.ai/free/en/papers/tu-2024-charactereval-chinese-benchmark-role-playing/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/tu-2024-charactereval-chinese-benchmark-role-playing/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CharacterEval: A Chinese Benchmark for…](https://md.research.elamur.ai/free/en/papers/tu-2024-charactereval-chinese-benchmark-role-playing/) / cited by # Who cites «CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation» 74 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation»](https://md.research.elamur.ai/free/en/papers/tu-2024-charactereval-chinese-benchmark-role-playing/) 1. [**From Persona to Personalization: A Survey on Role-Playing Language Agents arXiv:2404.18231**Jiangjie Chen, Xintao Wang, Rui Xu, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/) **[Rethinking Role-Playing Evaluation: Anonymous Benchmarking and A Systematic Study of Personality Effects](https://md.research.elamur.ai/free/en/papers/peng-2026-rethinking-role-playing-evaluation-anonymous/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Ji-Lun Peng, Yun-Nung Chen*2026* 71 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/tu-2024-charactereval-chinese-benchmark-role-playing/) — CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation