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A Simple Yet Strong Pipeline for HotpotQA

A Simple Yet Strong Pipeline for HotpotQA

14 April 2020
Dirk Groeneveld
Tushar Khot
Mausam
Ashish Sabharwal
ArXivPDFHTML

Papers citing "A Simple Yet Strong Pipeline for HotpotQA"

13 / 13 papers shown
Title
Uncertainty Guided Global Memory Improves Multi-Hop Question Answering
Uncertainty Guided Global Memory Improves Multi-Hop Question Answering
Alsu Sagirova
Andrey Kravchenko
RALM
28
1
0
29 Nov 2023
Rethinking Label Smoothing on Multi-hop Question Answering
Rethinking Label Smoothing on Multi-hop Question Answering
Zhangyue Yin
Yuxin Wang
Xiannian Hu
Yiguang Wu
Hang Yan
Xinyu Zhang
Bo Zhao
Xuanjing Huang
Xipeng Qiu
26
9
0
19 Dec 2022
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
Beyond the Granularity: Multi-Perspective Dialogue Collaborative
  Selection for Dialogue State Tracking
Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking
Jinyu Guo
Kai Shuang
Jijie Li
Zihan Wang
Yixuan Liu
19
17
0
20 May 2022
Better Retrieval May Not Lead to Better Question Answering
Better Retrieval May Not Lead to Better Question Answering
Zhengzhong Liang
Tushar Khot
Steven Bethard
Mihai Surdeanu
Ashish Sabharwal
RALM
LRM
28
3
0
07 May 2022
QA4QG: Using Question Answering to Constrain Multi-Hop Question
  Generation
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation
Dan Su
Peng Xu
Pascale Fung
22
5
0
14 Feb 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
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
58
14
0
14 Sep 2021
MuSiQue: Multihop Questions via Single-hop Question Composition
MuSiQue: Multihop Questions via Single-hop Question Composition
H. Trivedi
Niranjan Balasubramanian
Tushar Khot
Ashish Sabharwal
LRM
29
230
0
02 Aug 2021
Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
Bohong Wu
Zhuosheng Zhang
Hai Zhao
32
20
0
25 Jul 2021
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer
Siyu Ding
Junyuan Shang
Shuohuan Wang
Yu Sun
Hao Tian
Hua Wu
Haifeng Wang
73
52
0
31 Dec 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
28
3,929
0
10 Apr 2020
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
Joey Tianyi Zhou
RALM
164
134
0
17 Sep 2019
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