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. 2204.02292
  4. Cited By
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual
  Retrieval

Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval

5 April 2022
Robert Litschko
Ivan Vulić
Goran Glavavs
    LRM
ArXivPDFHTML

Papers citing "Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval"

16 / 16 papers shown
Title
Towards Typologically Aware Rescoring to Mitigate Unfaithfulness in Lower-Resource Languages
Towards Typologically Aware Rescoring to Mitigate Unfaithfulness in Lower-Resource Languages
Tsan Tsai Chan
Xin Tong
Thi Thu Uyen Hoang
Barbare Tepnadze
Wojciech Stempniak
34
0
0
24 Feb 2025
Self-Calibrated Listwise Reranking with Large Language Models
Self-Calibrated Listwise Reranking with Large Language Models
Ruiyang Ren
Yuhao Wang
K. Zhou
Wayne Xin Zhao
W. Wang
Jing Liu
Ji-Rong Wen
Tat-Seng Chua
LRM
KELM
36
0
0
07 Nov 2024
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot
  Multilingual Information Retrieval
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
Antoine Louis
V. Saxena
Gijs van Dijck
Gerasimos Spanakis
32
5
0
23 Feb 2024
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially
  Code-Switched Data
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data
Robert Litschko
Ekaterina Artemova
Barbara Plank
17
4
0
09 May 2023
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
Vaishali Pal
Carlos Lassance
Hervé Déjean
S. Clinchant
46
3
0
23 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
E. Ponti
MoMe
OOD
19
73
0
22 Feb 2023
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense
  Retrieval
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
Shunyu Zhang
Yaobo Liang
Ming Gong
Daxin Jiang
Nan Duan
13
4
0
03 Feb 2023
Parameter-efficient Zero-shot Transfer for Cross-Language Dense
  Retrieval with Adapters
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters
Eugene Yang
Suraj Nair
Dawn J Lawrie
J. Mayfield
Douglas W. Oard
11
4
0
20 Dec 2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated
  Neural Text Retrievers
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
Weng Lam Tam
Xiao Liu
Kaixuan Ji
Lilong Xue
Xing Zhang
Yuxiao Dong
Jiahua Liu
Maodi Hu
Jie Tang
VPVLM
11
27
0
14 Jul 2022
HC4: A New Suite of Test Collections for Ad Hoc CLIR
HC4: A New Suite of Test Collections for Ad Hoc CLIR
Dawn J Lawrie
J. Mayfield
Douglas W. Oard
Eugene Yang
VLM
AILaw
36
30
0
24 Jan 2022
Cross-language Information Retrieval
Cross-language Information Retrieval
P. Galuscáková
Douglas W. Oard
Suraj Nair
13
0
0
10 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Kuan-Hao Huang
Wasi Uddin Ahmad
Nanyun Peng
Kai-Wei Chang
AAML
89
33
0
17 Apr 2021
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
67
89
0
29 Dec 2020
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
453
0
17 Mar 2020
1