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Yubao Tang

2 accepted papers

2024

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval

ACL 2024findings

Generative retrieval uses differentiable search indexes to directly generate relevant document identifiers in response to a query. Recent studies have highlighted the potential of a strong generative retrieval model, trained with carefully crafted pre-training tasks, to enhance downstream retrieval…

Cited by 0SourcePDFScholar
2024

Generative Retrieval Meets Multi-Graded Relevance

NeurIPS 2024spotlight

Generative retrieval represents a novel approach to information retrieval, utilizing an encoder-decoder architecture to directly produce relevant document identifiers (docids) for queries. While this method offers benefits, current implementations are limited to scenarios with binary relevance data,…

Cited by 2SourcePDFScholar