Scaling Influence Functions in LLMs through Eigenbasis-Corrected One-Bit Gradient Projection.

arXiv:2609.37842v1 Announce Type: cross Abstract: Influence functions estimate how individual training examples affect the behavior of large language models (LLMs). Analyzing how training data influence different behaviors of an LLM involves repeated influence