Andrew Yates

Generative Retrieval as Dense Retrieval

2023 · arXiv (Cornell University)

Generative retrieval is a promising new neural retrieval paradigm that aims to optimize the retrieval pipeline by performing both indexing and retrieval with a single transformer model. However, this new paradigm faces challenges with updating …

CEDR

2019

Although considerable attention has been given to neural ranking architectures recently, far less attention has been paid to the term representations that are used as input to these models. In this work, we investigate how …

Pretrained Transformers for Text Ranking: BERT and Beyond

2020 · arXiv (Cornell University)

The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ranking is search, instances of the …