AI RESEARCH
From Backward Spreading to Forward Replay: Revisiting Target Construction in LLM Parameter Editing
arXiv CS.CL
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ArXi:2605.00358v1 Announce Type: new LLM parameter editing methods commonly rely on computing an ideal target hidden-state at a target layer (referred as anchor point) and distributing the target vector to multiple preceding layers (commonly known as backward spreading) for cooperative editing. Although widely used for a long time, its underlying basis have not been systematically investigated. In this paper, we first conduct a systematic study of its foundations, which helps clarify its capability boundaries, practical considerations, and potential failure modes.