May 23, 2023 · We present a novel framework for generative retrieval, dubbed Term-Set Generation (TSGen). Instead of sequences, we use a set of terms as DocID.
Jul 11, 2024 · We present a novel framework for generative retrieval, dubbed Term-Set Generation (TSGen). Instead of sequences, we use a set of terms as the DocID.
On top of the term-set DocID, we propose a permutation-invariant decoding algorithm, with which the terms can be generated in any permutation yet will always ...
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Jul 14, 2024 · Generative retrieval is an effective and efficient learning tool, improving long-term retention through the practice of retrieval from memory.
Apr 15, 2024 · This algorithm allows the model to generate the terms in any order, as long as the resulting set corresponds to the correct document. This is a ...
This repo provides the source code and checkpoints for our paper Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through ...
Sep 6, 2023 · This article provides an introduction to generative retrieval as well as a deep dive into the latest research works being done to optimize, extend, and ...
This tutorial offers an introduction to the core concepts of the GR paradigm and a comprehensive overview of recent advances in its foundations and ...
Jul 11, 2024 · This paper introduces PAG-a novel optimization and decoding approach that guides autoregressive generation of document identifiers in generative retrieval ...
Generative retrieval is meant to replace the long-lived "retrieve-then-rank" paradigm by collapsing the indexing, retrieval, and ranking components of ...