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C-MORE: Pretraining to Answer Open-Domain Questions by Consulting
  Millions of References

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References

16 March 2022
Xiang Yue
Xiaoman Pan
Wenlin Yao
Dian Yu
Dong Yu
Jianshu Chen
    RALM
    LRM
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Papers citing "C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References"

4 / 4 papers shown
Title
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Domain Adaptation of Multilingual Semantic Search -- Literature Review
Anna Bringmann
Anastasia Zhukova
VLM
41
0
0
05 Feb 2024
Unifying Corroborative and Contributive Attributions in Large Language
  Models
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge
Judy Hanwen Shen
Nicole Meister
Caleb Winston
Carlos Guestrin
TDI
32
10
0
20 Nov 2023
Domain Adaptation for Question Answering via Question Classification
Domain Adaptation for Question Answering via Question Classification
Zhenrui Yue
Huimin Zeng
Ziyi Kou
Lanyu Shang
Dong Wang
OOD
21
11
0
12 Sep 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
28
20
0
05 Aug 2022
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