Decoding a Neural Retriever's Latent Space for Query Suggestion

Decoding a Neural Retriever's Latent Space for Query Suggestion

21 October 2022

Leonard Adolphs

Michelle Chen Huebscher

Sertan Girgin

Olivier Bachem

Massimiliano Ciaramita

Papers citing "Decoding a Neural Retriever's Latent Space for Query Suggestion"

7 / 7 papers shown

Title
Text Embeddings Reveal (Almost) As Much As Text John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 28 94 0 10 Oct 2023
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering Alexey Gorbatovski Sergey Kovalchuk 19 2 0 26 Feb 2023
Zero-Shot Retrieval with Search Agents and Hybrid Environments Michelle Chen Huebscher Christian Buck Massimiliano Ciaramita S. Rothe 32 9 0 30 Sep 2022
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue Leonard Adolphs Kurt Shuster Jack Urbanek Arthur Szlam Jason Weston KELM LRM 204 41 0 09 Nov 2021
Internet-Augmented Dialogue Generation M. Komeili Kurt Shuster Jason Weston RALM 244 280 0 15 Jul 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 234 971 0 17 Apr 2021
Overview of the TREC 2020 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos 54 368 0 15 Feb 2021