---
title: "Who cites InCharacter: Evaluating — 79 citing papers"
description: "79 papers of the Elamur Research library cite «InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/cited-by/"
---
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# Who cites «InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews»

79 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews»](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/)

1. [**Personality Traits in Large Language Models**Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.*2023 · 251 citations*](https://md.research.elamur.ai/free/en/papers/serapio-garcia-2023-personality-traits-large-language-models/)
2. [**Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization**Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/)
3. [**From Persona to Personalization: A Survey on Role-Playing Language Agents**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/)
4. [**CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation**Quan Tu, Shilong Fan, Zihang Tian, et al.*2024 · 108 citations*](https://md.research.elamur.ai/free/en/papers/tu-2024-charactereval-chinese-benchmark-role-playing/)
5. [**Multi-dimensional Evaluation of Character-Authentic Dialogue Models Learned from Question-Answer Data**Atsushi Otsuka, Kazuya Matsuo, Kenta Hama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/otsuka-2026-multi-dimensional-evaluation-character-authentic/)
6. [**Toxic Subword Pruning for Dialogue Response Generation on Large Language Models**Hongyuan Adam Lu, Wai Lam*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/) — InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews