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Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop
  Question Answering

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering

4 May 2020
Vikas Yadav
Steven Bethard
Mihai Surdeanu
    RALM
ArXivPDFHTML

Papers citing "Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering"

11 / 11 papers shown
Title
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
Haris Riaz
Ellen Riloff
Mihai Surdeanu
RALM
51
0
0
25 Feb 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
55
1
0
03 Jan 2025
Distinguish Before Answer: Generating Contrastive Explanation as
  Knowledge for Commonsense Question Answering
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering
Qianglong Chen
Guohai Xu
Mingshi Yan
Ji Zhang
Fei Huang
Luo Si
Yin Zhang
18
9
0
14 May 2023
Enhancing Tabular Reasoning with Pattern Exploiting Training
Enhancing Tabular Reasoning with Pattern Exploiting Training
Abhilash Shankarampeta
Vivek Gupta
Shuo Zhang
LMTD
RALM
ReLM
60
6
0
21 Oct 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLM
LRM
30
32
0
05 May 2022
Summarize-then-Answer: Generating Concise Explanations for Multi-hop
  Reading Comprehension
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue
H. Trivedi
Steven K. Sinha
Niranjan Balasubramanian
Kentaro Inui
55
14
0
14 Sep 2021
Dynamic Semantic Graph Construction and Reasoning for Explainable
  Multi-hop Science Question Answering
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering
Weiwen Xu
Huihui Zhang
Deng Cai
Wai Lam
28
34
0
25 May 2021
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
12
50
0
01 Oct 2020
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
176
117
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
161
134
0
17 Sep 2019
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
227
201
0
06 Jul 2017
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