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Distantly-Supervised Evidence Retrieval Enables Question Answering
  without Evidence Annotation

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation

10 October 2021
Chen Zhao
Chenyan Xiong
Jordan L. Boyd-Graber
Hal Daumé
    RALM
ArXivPDFHTML

Papers citing "Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation"

4 / 4 papers shown
Title
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale
  Supervision
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision
Wenting Zhao
Justin T. Chiu
Claire Cardie
Alexander M. Rush
LRM
11
4
0
23 May 2023
EmbedDistill: A Geometric Knowledge Distillation for Information
  Retrieval
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval
Seungyeon Kim
A. S. Rawat
Manzil Zaheer
Sadeep Jayasumana
Veeranjaneyulu Sadhanala
Wittawat Jitkrittum
A. Menon
Rob Fergus
Surinder Kumar
FedML
42
7
0
27 Jan 2023
Reduce Catastrophic Forgetting of Dense Retrieval Training with
  Teleportation Negatives
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
Si Sun
Chenyan Xiong
Yue Yu
Arnold Overwijk
Zhiyuan Liu
Jie Bao
32
6
0
31 Oct 2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A
  Comprehensive Survey
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Xiaoyu Shen
Svitlana Vakulenko
Marco Del Tredici
Gianni Barlacchi
Bill Byrne
Adria de Gispert
RALM
VLM
26
20
0
05 Aug 2022
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