Papers by Dexin Lv

    1 papers
    PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents (2026.eacl-industry)

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    Challenge: Publicly available corpora cover only slivers of human activity, such as email threads, chat logs, purchase histories, sensor traces, and provide large-scale supervision for data-hungry machine-learning pipelines.
    Approach: They propose a method for synthesizing realistic digital footprints using large language model agents from a structured user profile.
    Outcome: The proposed method generates diverse sequences of user events, producing corresponding digital artifacts such as emails, messages, calendar entries, reminders, etc.

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