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How BERT-based Cross-Encoders Model Relevance in Information Retrieval?
Cross-encoders are the most effective but also the least efficient models in Information Retrieval. Despite their success, the mechanisms underlying their relevance predictions remain poorly understood, particularly how they process to match queries and documents. This lack of interpretability limit
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