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Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Leaderboards are a ubiquitous part of modern research in applied machine learning. By design, they sort entries into some linear order, where the top-scoring entry is recognized as the "state of the art" (SOTA). Due to the rapid progress being made today, particularly with neural models, the top entry in …