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Overview of the TREC 2020 deep learning track

Overview of the TREC 2020 deep learning track

15 February 2021
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
ArXivPDFHTML

Papers citing "Overview of the TREC 2020 deep learning track"

6 / 6 papers shown
Title
Leveraging Decoder Architectures for Learned Sparse Retrieval
Leveraging Decoder Architectures for Learned Sparse Retrieval
Jingfen Qiao
Thong Nguyen
Evangelos Kanoulas
Andrew Yates
30
0
0
25 Apr 2025
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
Yongkang Li
Panagiotis Eustratiadis
Simon Lupart
Evangelos Kanoulas
AAML
26
0
0
24 Apr 2025
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation
Anfu Tang
Laure Soulier
Vincent Guigue
LRM
45
0
0
16 Apr 2025
Hypencoder: Hypernetworks for Information Retrieval
Hypencoder: Hypernetworks for Information Retrieval
Julian Killingback
Hansi Zeng
Hamed Zamani
79
1
0
07 Feb 2025
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models
Manveer Singh Tamber
Jasper Xian
Jimmy Lin
MLAU
SILM
32
0
0
13 Jun 2024
ir_explain: a Python Library of Explainable IR Methods
ir_explain: a Python Library of Explainable IR Methods
S.
Harsh Agarwal
Venktesh V
Avishek Anand
Swastik Mohanty
Debapriyo Majumdar
Mandar Mitra
XAI
12
1
0
29 Apr 2024
1