Adapting Learned Sparse Retrieval for Long Documents

29 May 2023

Papers citing "Adapting Learned Sparse Retrieval for Long Documents"

7 / 7 papers shown

Title
Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and Leaderboarding Leonid Boytsov David Akinpelu Tianyi Lin Fangwei Gao Yutian Zhao Jeffrey Huang Nipun Katyal Eric Nyberg 156 9 0 04 Jul 2022
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective Thibault Formal Carlos Lassance Benjamin Piwowarski Stéphane Clinchant VLM 87 146 0 10 May 2022
Simplified Data Wrangling with ir_datasets Sean MacAvaney Andrew Yates Sergey Feldman Doug Downey Arman Cohan Nazli Goharian 143 109 0 03 Mar 2021
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 255 7,547 0 02 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,301 0 27 Aug 2019
CEDR: Contextualized Embeddings for Document Ranking Sean MacAvaney Andrew Yates Arman Cohan Nazli Goharian 59 335 0 15 Apr 2019
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset Payal Bajaj Daniel Fernando Campos Nick Craswell Li Deng Jianfeng Gao ... Mir Rosenberg Xia Song Alina Stoica Saurabh Tiwary Tong Wang RALM 151 2,744 0 28 Nov 2016