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Mitigating False-Negative Contexts in Multi-document Question Answering
  with Retrieval Marginalization

Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization

22 March 2021
Ansong Ni
Matt Gardner
Pradeep Dasigi
    RALM
ArXivPDFHTML

Papers citing "Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization"

3 / 3 papers shown
Title
Mitigating the Impact of False Negatives in Dense Retrieval with
  Contrastive Confidence Regularization
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization
Shiqi Wang
Yeqin Zhang
Cam-Tu Nguyen
20
2
0
30 Dec 2023
Turning Tables: Generating Examples from Semi-structured Tables for
  Endowing Language Models with Reasoning Skills
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills
Ori Yoran
Alon Talmor
Jonathan Berant
ReLM
LRM
175
53
0
15 Jul 2021
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
156
134
0
17 Sep 2019
1