ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.03599
  4. Cited By
Improving Document Representations by Generating Pseudo Query Embeddings
  for Dense Retrieval

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

8 May 2021
Hongyin Tang
Xingwu Sun
Beihong Jin
Jingang Wang
Fuzheng Zhang
Wei Yu Wu
    RALM
ArXivPDFHTML

Papers citing "Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval"

12 / 12 papers shown
Title
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Kidist Amde Mekonnen
Yubao Tang
Maarten de Rijke
60
0
0
07 Apr 2025
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language
  Models and Doc-Level Embedding
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
Mingrui Wu
Sheng Cao
KELM
RALM
38
3
0
08 Apr 2024
Clustering and Ranking: Diversity-preserved Instruction Selection
  through Expert-aligned Quality Estimation
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
Yuan Ge
Yilun Liu
Chi Hu
Weibin Meng
Shimin Tao
Xiaofeng Zhao
Hongxia Ma
Li Zhang
Hao Yang
Tong Xiao
ALM
32
24
0
28 Feb 2024
A Unified Causal View of Instruction Tuning
A Unified Causal View of Instruction Tuning
Luyao Chen
Wei Huang
Ruqing Zhang
Wei-Neng Chen
J. Guo
Xueqi Cheng
23
1
0
09 Feb 2024
Enhancing Open-Domain Table Question Answering via Syntax- and
  Structure-aware Dense Retrieval
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval
Nengzheng Jin
Dongfang Li
Junying Chen
Joanna Siebert
Qingcai Chen
RALM
LMTD
22
2
0
19 Sep 2023
ODSum: New Benchmarks for Open Domain Multi-Document Summarization
ODSum: New Benchmarks for Open Domain Multi-Document Summarization
Yijie Zhou
Kejian Shi
Wencai Zhang
Yixin Liu
Yilun Zhao
Arman Cohan
RALM
29
2
0
16 Sep 2023
Learning Diverse Document Representations with Deep Query Interactions
  for Dense Retrieval
Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval
Zehan Li
Nan Yang
Liang Wang
Furu Wei
24
8
0
08 Aug 2022
Multi-View Document Representation Learning for Open-Domain Dense
  Retrieval
Multi-View Document Representation Learning for Open-Domain Dense Retrieval
Shunyu Zhang
Yaobo Liang
Ming Gong
Daxin Jiang
Nan Duan
RALM
3DV
AI4TS
20
61
0
16 Mar 2022
VIRT: Improving Representation-based Models for Text Matching through
  Virtual Interaction
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
Dan Li
Yang Yang
Hongyin Tang
Jingang Wang
Tong Bill Xu
Wei Yu Wu
Enhong Chen
20
7
0
08 Dec 2021
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval
Bohong Wu
Zhuosheng Zhang
Jinyuan Wang
Hai Zhao
VLM
AI4TS
51
22
0
14 Oct 2021
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
367
0
15 Feb 2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
219
608
0
13 Oct 2020
1