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Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

20 September 2022
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
Ashwin Kalyan
    ELM
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering"

29 / 179 papers shown
Title
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
651
41,103
0
22 Oct 2020
Learning to Explain: Datasets and Models for Identifying Valid Reasoning
  Chains in Multihop Question-Answering
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
Harsh Jhamtani
Peter Clark
LRM
77
71
0
07 Oct 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
761
42,055
0
28 May 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System
UnifiedQA: Crossing Format Boundaries With a Single QA System
Daniel Khashabi
Sewon Min
Tushar Khot
Ashish Sabharwal
Oyvind Tafjord
Peter Clark
Hannaneh Hajishirzi
136
738
0
02 May 2020
WT5?! Training Text-to-Text Models to Explain their Predictions
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
58
201
0
30 Apr 2020
QASC: A Dataset for Question Answering via Sentence Composition
QASC: A Dataset for Question Answering via Sentence Composition
Tushar Khot
Peter Clark
Michal Guerquin
Peter Alexander Jansen
Ashish Sabharwal
CoGe
73
328
0
25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
424
20,181
0
23 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,226
0
27 Aug 2019
VisualBERT: A Simple and Performant Baseline for Vision and Language
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li
Mark Yatskar
Da Yin
Cho-Jui Hsieh
Kai-Wei Chang
VLM
138
1,955
0
09 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
226
3,684
0
06 Aug 2019
Deep Modular Co-Attention Networks for Visual Question Answering
Deep Modular Co-Attention Networks for Visual Question Answering
Zhou Yu
Jun Yu
Yuhao Cui
Dacheng Tao
Q. Tian
87
806
0
25 Jun 2019
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual
  Question Answering
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
Peng Gao
Zhengkai Jiang
Haoxuan You
Pan Lu
Steven C. H. Hoi
Xiaogang Wang
Hongsheng Li
AIMat
76
365
0
13 Dec 2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book
  Question Answering
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
Peter Clark
Tushar Khot
Ashish Sabharwal
113
1,537
0
08 Sep 2018
Question-Guided Hybrid Convolution for Visual Question Answering
Question-Guided Hybrid Convolution for Visual Question Answering
Peng Gao
Pan Lu
Hongsheng Li
Shuang Li
Yikang Li
Guosheng Lin
Xiaogang Wang
127
68
0
08 Aug 2018
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual
  Question Answering
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
Pan Lu
Lei Ji
Wei Zhang
Nan Duan
M. Zhou
Jianyong Wang
CoGe
53
79
0
24 May 2018
Bilinear Attention Networks
Bilinear Attention Networks
Jin-Hwa Kim
Jaehyun Jun
Byoung-Tak Zhang
AIMat
87
875
0
21 May 2018
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
158
2,610
0
14 Mar 2018
WorldTree: A Corpus of Explanation Graphs for Elementary Science
  Questions supporting Multi-Hop Inference
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference
Peter Alexander Jansen
Elizabeth Wainwright
Steven Marmorstein
Clayton T. Morrison
65
122
0
08 Feb 2018
DVQA: Understanding Data Visualizations via Question Answering
DVQA: Understanding Data Visualizations via Question Answering
Kushal Kafle
Brian L. Price
Scott D. Cohen
Christopher Kanan
AIMat
71
390
0
24 Jan 2018
Co-attending Free-form Regions and Detections with Multi-modal
  Multiplicative Feature Embedding for Visual Question Answering
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering
Pan Lu
Hongsheng Li
Wei Zhang
Jianyong Wang
Xiaogang Wang
61
80
0
18 Nov 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
121
4,216
0
25 Jul 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
295
2,378
0
20 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
338
3,246
0
02 Dec 2016
Semantic Parsing to Probabilistic Programs for Situated Question
  Answering
Semantic Parsing to Probabilistic Programs for Situated Question Answering
Jayant Krishnamurthy
Oyvind Tafjord
Aniruddha Kembhavi
62
25
0
22 Jun 2016
A Diagram Is Worth A Dozen Images
A Diagram Is Worth A Dozen Images
Aniruddha Kembhavi
M. Salvato
Eric Kolve
Minjoon Seo
Hannaneh Hajishirzi
Ali Farhadi
3DV
59
482
0
24 Mar 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
215
5,747
0
23 Feb 2016
Yin and Yang: Balancing and Answering Binary Visual Questions
Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang
Yash Goyal
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
87
352
0
16 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
91
884
0
11 Nov 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
202
5,478
0
03 May 2015
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