DIG unifies ranking and retrieval by training the tokenizer jointly inside a ranking model, producing improved models for both from a single run.
InProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Discrimination Is Generation: Unifying Ranking and Retrieval from a Tokenizer Perspective
DIG unifies ranking and retrieval by training the tokenizer jointly inside a ranking model, producing improved models for both from a single run.