Papers by YuJu Cheng

1 papers
Serial Lifelong Editing via Mixture of Knowledge Experts (2025.acl-long)

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Challenge: Existing Lifelong Knowledge Editing methods struggle to overwrite outdated knowledge with the latest one.
Approach: They propose a new Mixture-of-Knowledge-Experts scheme with an ARM . ARM ensures that each update completely overwrites old information with the latest one . Experimental results show that ARM performs favorably against SOTA knowledge editing methods .
Outcome: The proposed scheme overwrites old knowledge with the latest data on a benchmark . it performs favorably against existing knowledge editing methods on the same concept .

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