Match Your Words! A Study of Lexical Matching in Neural Information Retrieval

10 December 2021

Papers citing "Match Your Words! A Study of Lexical Matching in Neural Information Retrieval"

10 / 10 papers shown

Title
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective Qi Liu Jiaxin Mao Ji-Rong Wen LRM 31 0 0 10 Apr 2025
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets Orion Weller Kyle Lo David Wadden Dawn J Lawrie Benjamin Van Durme Arman Cohan Luca Soldaini 49 19 0 15 Sep 2023
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions? Yasuto Hoshi Daisuke Miyashita Yasuhiro Morioka Youyang Ng Osamu Torii J. Deguchi 23 0 0 09 Mar 2023
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps Hiroki Iida Naoaki Okazaki 42 4 0 08 Nov 2022
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective Thibault Formal Carlos Lassance Benjamin Piwowarski S. Clinchant VLM 26 139 0 10 May 2022
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval Thibault Formal Carlos Lassance Benjamin Piwowarski S. Clinchant 202 186 0 21 Sep 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 246 971 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
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 242 611 0 13 Oct 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 466 0 17 Mar 2020