Papers by Wenjun Lyu

2 papers
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark (2023.acl-long)

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Challenge: Large language models (LLMs) have demonstrated exceptional abilities in both text understanding and generation.
Approach: They propose an Embedding Watermark method that implants backdoors on embeddings to protect copyright of large language models.
Outcome: The proposed method protects the copyright of large language models without compromising service quality while minimizing the adverse impact on the original embeddings’ utility.
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition (2025.acl-industry)

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Challenge: Existing methods to optimize geospatial repartition rely on manual adjustments by experts or algorithmic optimization using limited offline operational metrics.
Approach: They propose a framework that calibrates LLM uncertainty to enable robust geospatial repartition by integrating historical data with LLM-generated candidates.
Outcome: The proposed framework calibrates LLM uncertainty to enable robust geospatial repartition by integrating historical data with LLM-generated candidates.

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