Papers by Wanling Li

    1 papers
    AgentMark: Utility-Preserving Behavioral Watermarking for Agents (2026.acl-long)

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    Challenge: Recent advances in large language models (LLMs) have improved text generation and reasoning.
    Approach: They propose a behavioral watermarking framework that embeds multi-bit identifiers into planning decisions while preserving utility.
    Outcome: The proposed framework embeds multi-bit provenance into planning decisions while preserving utility.

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