Yuansan Liu

Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models

This paper introduces Search in the Model, a novel training-free framework that performs fine-grained identification and rectification of vulnerable neurons directly within the model, and develops a maximum marginal vulnerability criterion to precisely locate the top-K neurons most responsible for model vulnerability.