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Exploiting Reasoning Chains for Multi-hop Science Question Answering

Exploiting Reasoning Chains for Multi-hop Science Question Answering

7 September 2021
Weiwen Xu
Yang Deng
Huihui Zhang
Deng Cai
W. Lam
    LRM
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Papers citing "Exploiting Reasoning Chains for Multi-hop Science Question Answering"

8 / 8 papers shown
Title
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial
  Reasoning in Text
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
Shuaiyi Li
Yang Deng
Wai Lam
32
2
0
19 Oct 2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Chuanyang Zheng
Zhengying Liu
Enze Xie
Zhenguo Li
Yu Li
LLMAG
ReLM
LRM
41
103
0
19 Apr 2023
ConReader: Exploring Implicit Relations in Contracts for Contract Clause
  Extraction
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
Weiwen Xu
Yang Deng
Wenqiang Lei
Wenlong Zhao
Tat-Seng Chua
W. Lam
AILaw
28
6
0
17 Oct 2022
Rationale-Augmented Ensembles in Language Models
Rationale-Augmented Ensembles in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Denny Zhou
ReLM
LRM
38
124
0
02 Jul 2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit
  Reasoning Strategies
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva
Daniel Khashabi
Elad Segal
Tushar Khot
Dan Roth
Jonathan Berant
RALM
259
678
0
06 Jan 2021
Retrieving and Reading: A Comprehensive Survey on Open-domain Question
  Answering
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
Fengbin Zhu
Wenqiang Lei
Chao Wang
Jianming Zheng
Soujanya Poria
Tat-Seng Chua
RALM
213
252
0
04 Jan 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
232
438
0
25 Sep 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
Joey Tianyi Zhou
RALM
164
134
0
17 Sep 2019
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