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Jingchen Peng

1 accepted papers

2026

Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database

ICLR 2026poster

Efficiently editing knowledge stored in Large Language Models (LLMs) enables model updates without large-scale training. One promising solution is Locate-and-Edit (L\&E), allowing simultaneous modifications of a massive number of factual knowledge. However, such editing may compromise the general ab…

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