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Incorporating Relevance Feedback for Information-Seeking Retrieval using
  Few-Shot Document Re-Ranking

Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking

19 October 2022
Tim Baumgärtner
Leonardo F. R. Ribeiro
Nils Reimers
Iryna Gurevych
ArXivPDFHTML

Papers citing "Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking"

7 / 7 papers shown
Title
Cross-Document Contextual Coreference Resolution in Knowledge Graphs
Cross-Document Contextual Coreference Resolution in Knowledge Graphs
Zhang Dong
Mingbang Wang
Songhang deng
Le Dai
Jiyuan Li
Xingzu Liu
Ruilin Nong
30
0
0
08 Apr 2025
Measuring Retrieval Complexity in Question Answering Systems
Measuring Retrieval Complexity in Question Answering Systems
Matteo Gabburo
Nicolaas Paul Jedema
Siddhant Garg
Leonardo F. R. Ribeiro
Alessandro Moschitti
47
0
0
05 Jun 2024
Query Understanding in the Age of Large Language Models
Query Understanding in the Age of Large Language Models
Avishek Anand
Venktesh V
Abhijit Anand
Vinay Setty
LRM
43
4
0
28 Jun 2023
UKP-SQuARE v3: A Platform for Multi-Agent QA Research
UKP-SQuARE v3: A Platform for Multi-Agent QA Research
Haritz Puerto
Tim Baumgärtner
Rachneet Sachdeva
Haishuo Fang
Haotian Zhang
Sewin Tariverdian
Kexin Wang
Iryna Gurevych
28
2
0
31 Mar 2023
Optimizing Test-Time Query Representations for Dense Retrieval
Optimizing Test-Time Query Representations for Dense Retrieval
Mujeen Sung
Jungsoo Park
Jaewoo Kang
Danqi Chen
Jinhyuk Lee
23
5
0
25 May 2022
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
234
971
0
17 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
359
11,684
0
09 Mar 2017
1