mlsanityData to 7 Oct 2026

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data

arXiv 2406.18921 ↗First posted 27 Jun 2024cs.CLcited by 17

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Abstract (arXiv)

Role-playing agents (RPA) have been a popular application area for large language models (LLMs), attracting significant interest from both industry and academia.While existing RPAs well portray the characters' knowledge and tones, they face challenges in capturing their minds, especially for small role-playing language models (RPLMs). In this paper, we propose to enhance RPLMs via personality-indicative data. Specifically, we leverage questions from psychological scales and distill advanced RPAs to generate dialogues that grasp the minds of characters. Experimental results validate that RPLMs trained with our dataset exhibit advanced role-playing capabilities for both general and personality-related evaluations. Code and data are available at hrefhttps://github.com/alienet1109/RolePersonalitythis URL.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 8 of its 18 references that are in the map. First posted on arXiv 27 Jun 2024.

Builds on

8 of 18 references.

References · 8

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  2. 2023Mistral 7Bcited by 3,065
  3. 2023Character-LLM: A Trainable Agent for Role-Playingcited by 335
  4. 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
  5. 2023InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviewscited by 177
  6. 2023RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Modelscited by 173
  7. 2024Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agentcited by 52
  8. 2024Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Workscited by 38

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 11; 2026: 4.

17 papers.

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  1. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
  2. 2025A Survey of Personalization: From RAG to Agentcited by 26
  3. 2024MINDECHO: Role-Playing Language Agents for Key Opinion Leaderscited by 10
  4. 2025HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playingcited by 7
  5. 2025STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Modelscited by 6
  6. 2025Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agentscited by 5
  7. 2025AI Agent Behavioral Sciencecited by 5
  8. 2025PsyMem: Fine-grained psychological alignment and Explicit Memory Control for Advanced Role-Playing LLMscited by 4
  9. 2025Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agentscited by 3
  10. 2025Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Realitycited by 2
  11. 2026Role-Playing Agents Driven by Large Language Models: Current Status, Challenges, and Future Trendscited by 2
  12. 2026Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life Eventscited by 2
5 more
  1. 2025Score Before You Speak: Improving Persona Consistency in Dialogue Generation using Response Quality Scorescited by 1
  2. 2025IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimizationcited by 1
  3. 2026Adaptive Turn-Taking for Real-time Multi-Party Voice Agentscited by 1
  4. 2025Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Eventscited by 0
  5. 2026PersonaManifold: Revealing and Exploiting Curved Geometry in LLM Persona Representationscited by 0