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UnQovering Stereotyping Biases via Underspecified Questions

Oct 10, 2020
Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek Srikumar

* Accepted at Findings of EMNLP 2020 

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Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Sep 01, 2020
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal


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Belief Propagation Neural Networks

Jul 01, 2020
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon


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Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering

May 02, 2020
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal


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UnifiedQA: Crossing Format Boundaries With a Single QA System

May 02, 2020
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi


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A Simple Yet Strong Pipeline for HotpotQA

Apr 14, 2020
Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal


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Natural Perturbation for Robust Question Answering

Apr 09, 2020
Daniel Khashabi, Tushar Khot, Ashish Sabharwal


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Adversarial Filters of Dataset Biases

Feb 20, 2020
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi


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What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge

Dec 31, 2019
Kyle Richardson, Ashish Sabharwal

* work in progress 

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Approximating the Permanent by Sampling from Adaptive Partitions

Nov 26, 2019
Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon

* 19 pages 

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Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses

Nov 10, 2019
Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth


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QASC: A Dataset for Question Answering via Sentence Composition

Oct 25, 2019
Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal


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AdaWISH: Faster Discrete Integration via Adaptive Quantiles

Oct 13, 2019
Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue


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What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering

Sep 19, 2019
Tushar Khot, Ashish Sabharwal, Peter Clark

* EMNLP 2019 

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Probing Natural Language Inference Models through Semantic Fragments

Sep 16, 2019
Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal


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From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project

Sep 11, 2019
Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz

* v2 add authors (content unchanged) 

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Question Answering as Global Reasoning over Semantic Abstractions

Jun 09, 2019
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth

* Appeared in AAAI'18 

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Repurposing Entailment for Multi-Hop Question Answering Tasks

Apr 20, 2019
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian

* Accepted at NAACL'19 

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On the Capabilities and Limitations of Reasoning for Natural Language Understanding

Jan 08, 2019
Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth


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QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships

Nov 20, 2018
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal

* 9 pages, AAAI 2019 

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Exploiting Explicit Paths for Multi-hop Reading Comprehension

Nov 02, 2018
Souvik Kundu, Tushar Khot, Ashish Sabharwal


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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Sep 08, 2018
Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal

* Published as conference long paper at EMNLP 2018 

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Bridging Knowledge Gaps in Neural Entailment via Symbolic Models

Sep 04, 2018
Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark

* EMNLP 2018 

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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples

May 12, 2018
Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Eduard Hovy

* ACL 2018 

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Knowledge Completion for Generics using Guided Tensor Factorization

Mar 28, 2018
Hanie Sedghi, Ashish Sabharwal

* To appear in TACL 

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Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Mar 14, 2018
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord

* 10 pages, 7 tables, 2 figures 

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Approximate Inference via Weighted Rademacher Complexity

Jan 27, 2018
Jonathan Kuck, Ashish Sabharwal, Stefano Ermon

* In AAAI 2018 proceedings 

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Answering Complex Questions Using Open Information Extraction

Apr 19, 2017
Tushar Khot, Ashish Sabharwal, Peter Clark

* Accepted as short paper at ACL 2017 

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