INTERPRETING RANKING MODELS: FROM FEATURE ATTRIBUTIONS TO MECHANISTIC COMPREHENSION
The rapid adoption of Neural Ranking Models (NRMs) in Information Retrieval (IR) underscores the urgent need for robust interpretability methods to ensure their reliability and transparency. Despite their widespread use, how NRMs model query-document relevance remains poorly understood, limiting their application in hi...