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Do Multi-Hop Question Answering Systems Know How to Answer the
  Single-Hop Sub-Questions?

Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?

23 February 2020
Yixuan Tang
Hwee Tou Ng
A. Tung
ArXivPDFHTML

Papers citing "Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?"

9 / 9 papers shown
Title
Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sources
Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sources
Jackson Coleman
Isaiah Lawrence
Benjamin Turner
LRM
43
0
0
09 Feb 2025
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
D. Ribeiro
Shen Wang
Xiaofei Ma
He Zhu
Rui Dong
...
William Yang Wang
Zhiheng Huang
George Karypis
Bing Xiang
Dan Roth
LRM
ReLM
28
23
0
13 Feb 2023
Analyzing the Effectiveness of the Underlying Reasoning Tasks in
  Multi-hop Question Answering
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
LRM
44
7
0
12 Feb 2023
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A
  Comparative Study
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study
Ieva Staliunaite
P. Gorinski
Ignacio Iacobacci
GNN
27
0
0
12 Oct 2022
How Well Do Multi-hop Reading Comprehension Models Understand Date
  Information?
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?
Xanh Ho
Saku Sugawara
Akiko Aizawa
34
2
0
11 Oct 2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative
  Question Answering
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering
Zhengbao Jiang
Jun Araki
Haibo Ding
Graham Neubig
LRM
35
10
0
09 Oct 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
35
4
0
05 Sep 2022
Calibrating Trust of Multi-Hop Question Answering Systems with
  Decompositional Probes
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Kaige Xie
Sarah Wiegreffe
Mark O. Riedl
ReLM
24
12
0
16 Apr 2022
Towards Interpretable and Reliable Reading Comprehension: A Pipeline
  Model with Unanswerability Prediction
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
Kosuke Nishida
Kyosuke Nishida
Itsumi Saito
Sen Yoshida
38
7
0
17 Nov 2021
1