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Ziqi Peng

2 accepted papers

2026

Multiplicative Orthogonal Sequential Editing for Language Models

AAAI 2026technical

Knowledge editing aims to efficiently modify the internal knowledge of large language models (LLMs) without compromising their other capabilities. The prevailing editing paradigm, which appends an update matrix to the original parameter matrix, has been shown by some studies to damage key numerical

Cited by 0SourcePDFScholar
2026

TangleScore: Tangle-Guided Purge and Imprint for Unstructured Knowledge Editing

ICLR 2026poster

Large language models (LLMs) struggle with inaccurate and outdated information, driving the emergence of knowledge editing as a lightweight alternative. Despite their effectiveness in modifying structured knowledge, existing editing methods often fail to generalize to unstructured cases, particularl…

Cited by 0SourceScholar