Reproducibility Study of "AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models"

arXiv:2606.26783v1 Announce Type: new Abstract: Fang et al. (2025) introduced a null-space constrained projection, named AlphaEdit, for locate-then-edit knowledge editing methods, theoretically guaranteeing that edits do not disrupt previously preserved knowledge, and reports substantial gains over existing editing methods on LLaMA3, GPT2-XL, and GPT-J. In this work, we present a reproducibility study of AlphaEdit, reproducing its reported results under the original experimental setup and extending the evaluation along three axes: new model architectures, additional downstream benchmarks, and

Source: arXiv cs.LG — read the full report at the original publisher.

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