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LoL: A Comparative Regularization Loss over Query Reformulation Losses
  for Pseudo-Relevance Feedback

LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback

25 April 2022
Yunchang Zhu
Liang Pang
Yanyan Lan
Huawei Shen
Xueqi Cheng
ArXivPDFHTML

Papers citing "LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback"

3 / 3 papers shown
Title
Overview of the TREC 2020 deep learning track
Overview of the TREC 2020 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
54
368
0
15 Feb 2021
Overview of the TREC 2019 deep learning track
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
174
463
0
17 Mar 2020
Answering Complex Open-domain Questions Through Iterative Query
  Generation
Answering Complex Open-domain Questions Through Iterative Query Generation
Peng Qi
Xiaowen Lin
L. Mehr
Zijian Wang
Christopher D. Manning
RALM
ReLM
LRM
171
117
0
15 Oct 2019
1