Machine Learning, NLP, Computer Vision, Information Retrieval, Transformers.
of query-document relevance, where the re-raker minimizes a Binary Cross Entropy loss among all candidates C, classifying them into positive or negative samples. One would generally expect that when the first model M gets better, the performance of the system as a whole will improve, as the