Papers by Zeyi Lu

2 papers
When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models (2026.acl-long)

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Challenge: Key-Value (KV) caching is widely used in large language models to enable long-context inference efficiently, yet its security implications remain underexplored.
Approach: They propose a history-aware, per-head feedback merging strategy that prevents safety degradation while maintaining efficiency.
Outcome: The proposed strategy prevents safety degradation while maintaining efficiency.
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search (2024.emnlp-main)

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Challenge: Logic-Induced-Knowledge-Search (LINK) is a framework for generating factually-correct yet long-tail inferential knowledge.
Approach: They introduce a framework to obtain factually-correct yet long-tail inferential statements using variable-wise prompting grounded on symbolic rules.
Outcome: The proposed framework is able to obtain factually-correct yet long-tail inferential statements while ensuring factual correctness.

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