@inproceedings{du-etal-2026-twinvoice,
    title = "{T}win{V}oice: A Multi-dimensional Benchmark Towards Digital Twins via {LLM} Persona Simulation",
    author = "Du, Bangde  and
      Guo, Minghao  and
      He, Songming  and
      Ye, Ziyi  and
      Zhu, Xi  and
      Su, Weihang  and
      Zhu, Shuqi  and
      Zhou, Yujia  and
      Zhang, Yongfeng  and
      Ai, Qingyao  and
      Liu, Yiqun",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.findings-acl.981/",
    pages = "19604--19628",
    ISBN = "979-8-89176-395-1",
    abstract = "Large Language Models (LLMs) are exhibiting emergent human-like abilities and are envisioned as the tool for simulating an individual{'}s communication patterns, behaviors, and personality traits. However, current evaluations of LLM-based persona simulation remain limited: most rely on synthetic dialogues and lack fine-grained analysis of the capability for persona simulation. To address these limitations, we introduce TwinVoice, a comprehensive benchmark for assessing persona simulation across diverse real-world contexts. TwinVoice encompasses three dimensions: Social Persona (public social interactions), Interpersonal Persona (private dialogues), and Narrative Persona (role-based expression). It further decomposes the evaluation into six fundamental capabilities, including opinion consistency, memory recall, logical reasoning, lexical fidelity, persona tone, and syntactic style. Experimental results reveal that while advanced models achieve moderate accuracy in persona simulation, they still fall short of capabilities such as syntactic style and memory recall. Our data, code, and evaluation results are available."
}