ExaRanker: Improving Information Retrieval Models with Natural Language Explanations
Artificial Intelligence research is making great strides in information retrieval (IR) problems, with models such as BERT and T5 showing improved performance through fine-tuning on millions of cases. However, the need for large amounts of fine-tuning data limits the performance of these models in real-world applications. A new study proposes a solution to this problem […]
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