Papers by Xifan Chen

    1 papers
    Law in Silico: Simulating Legal Society with LLM-Based Agents (2026.findings-acl)

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    Challenge: Large Language Models (LLMs) are powerful tools for legal simulation, but their application remains underexplored.
    Approach: They propose a unified LLM-based agent framework for simulating legal scenarios . they calibrate agent behaviors against real-world crime data .
    Outcome: The proposed framework calibrates agent behaviors against real-world crime data.

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