mlsanityData to 14 Oct 2026

PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits

arXiv 2401.07363 ↗First posted 14 Jan 2024cs.CLcited by 6

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Abstract (arXiv)

The new wave of Large Language Models (LLM) has offered an efficient tool to curate sizeable conversational datasets. So far studies have mainly focused on task-oriented or generic open-domain dialogs, and have not fully explored the ability of LLMs in following complicated prompts. In this work, we focus on personalization, and employ LLMs to curate a dataset which is difficult and costly to crowd-source: PersonalityChat is a synthetic conversational dataset based upon the popular PersonaChat dataset, but conditioned on both personas and (Big-5) personality traits. Evaluating models fine-tuned on this dataset, we show that the personality trait labels can be used for trait-based personalization of generative dialogue models. We also perform a head-to-head comparison between PersonalityChat and PersonaChat, and show that training on the distilled dataset results in more fluent and coherent dialog agents in the small-model regime.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 18 of its 41 references that are in the map. First posted on arXiv 14 Jan 2024.

Builds on

18 of 41 references.

References · 18

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
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6 more
  1. 2020PANDORA Talks: Personality and Demographics on Redditcited by 40
  2. 2022Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedbackcited by 36
  3. 2022Weakly Supervised Data Augmentation Through Prompting for Dialogue Understandingcited by 32
  4. 2022LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Taggingcited by 29
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 3; 2026: 1.

6 papers.

  1. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 208
  2. 2025One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instructioncited by 17
  3. 2025Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignmentcited by 9
  4. 2025Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generationcited by 7
  5. 2024PersLLM: A Personified Training Approach for Large Language Modelscited by 6
  6. 2026Beyond the Resum'e: A Rubric-Aware Automatic Interview System for Information Elicitationcited by 0