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Retrieving and Reading: A Comprehensive Survey on Open-domain Question
  Answering

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

4 January 2021
Fengbin Zhu
Wenqiang Lei
Chao Wang
Jianming Zheng
Soujanya Poria
Tat-Seng Chua
    RALM
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Papers citing "Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering"

4 / 4 papers shown
Title
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation
Hang Zhang
Zhuoling Li
Jun Liu
LRM
81
55
0
15 Dec 2024
Answering Complex Open-domain Questions Through Iterative Query
  Generation
Answering Complex Open-domain Questions Through Iterative Query Generation
Peng Qi
Xiaowen Lin
L. Mehr
Zijian Wang
Christopher D. Manning
RALM
ReLM
LRM
152
108
0
15 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Mohit Bansal
RALM
143
128
0
17 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
373
2,216
0
03 Sep 2019
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