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2403.16915
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Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models
25 March 2024
Atsushi Keyaki
Ribeka Keyaki
Re-assign community
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Papers citing
"Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models"
7 / 7 papers shown
Title
WebFormer: The Web-page Transformer for Structure Information Extraction
Qifan Wang
Yi Fang
Anirudh Ravula
Fuli Feng
Xiaojun Quan
Dongfang Liu
ViT
141
65
0
01 Feb 2022
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
98
101
0
04 Oct 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
Ruiyang Ren
Shangwen Lv
Yingqi Qu
Jing Liu
Wayne Xin Zhao
Qiaoqiao She
Hua-Hong Wu
Haifeng Wang
Ji-Rong Wen
128
90
0
13 Aug 2021
Overview of the TREC 2020 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
54
368
0
15 Feb 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep
Rodrigo Nogueira
Jimmy J. Lin
MoE
59
166
0
14 Jan 2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
219
610
0
13 Oct 2020
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
180
465
0
17 Mar 2020
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