Papers by Sitao Luan

2 papers
EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing (2026.findings-acl)

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Challenge: Existing approaches to modifying large language models require continual updates to rectify outdated or erroneous knowledge.
Approach: They propose a model editing strategy that mitigates catastrophic interference through sequential null-space alignment.
Outcome: EvoEdit achieves better or comparable performance than prior state-of-the-art techniques with up to 3.53 speedup.
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis (2025.findings-acl)

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Challenge: Parody is an emerging phenomenon on social media, where individuals imitate a role or position opposite to their own . limited available data and deficient diversity in current datasets hinder study of parody .
Approach: They build a dataset of parody users and annotated comments from both English and Chinese corpora to test parody detection and comment sentiment analysis.
Outcome: The proposed datasets provide richer contextual information, which is lacking in existing datasets.

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