---
title: "Who cites Large Language Models Meet — 56 citing papers"
description: "56 papers of the Elamur Research library cite «Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with…"
canonical: "https://research.elamur.ai/free/en/papers/chen-2023-large-language-models-meet-harry/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Large Language Models Meet Harry Potter: A…](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-meet-harry/) / cited by

# Who cites «Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters»

56 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters»](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-meet-harry/)

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/) **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Quan Tu, Shilong Fan, Zihang Tian, et al.*2024 · 108 citations* **[Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment](https://md.research.elamur.ai/free/en/papers/lu-2024-large-language-models-are-superpositions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Keming Lu, Bowen Yu, Chang Zhou, et al.*2024 · 86 citations* [**Building Common Ground in Dialogue: A Survey Proceedings of the 2nd LUHME Workshop**Tatiana Anikina, Alina Leippert, Simon Ostermann*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/anikina-2025-building-common-ground-dialogue-survey/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-meet-harry/) — Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters