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Ashish Sabharwal
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Publications
- 2022
- [c112]Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal:
Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL (Findings) 2022: 1808-1823 - [c107]Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi:
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT 2022: 3631-3643 - 2021
- [c106]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) 2021: 4158-4164 - [c104]Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch:
GooAQ: Open Question Answering with Diverse Answer Types. EMNLP (Findings) 2021: 421-433 - [c102]Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. NAACL-HLT 2021: 1264-1279 - [i50]Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark:
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. CoRR abs/2102.03315 (2021) - [i48]Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch:
GooAQ: Open Question Answering with Diverse Answer Types. CoRR abs/2104.08727 (2021) - [i47]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR abs/2106.01465 (2021) - [i45]Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal:
Learning to Solve Complex Tasks by Talking to Agents. CoRR abs/2110.08542 (2021) - [i43]Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR abs/2112.08348 (2021) - 2020
- [j16]Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41(4): 39-53 (2020) - [c98]Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. ACL 2020: 5715-5725 - [c96]Daniel Khashabi, Tushar Khot, Ashish Sabharwal:
More Bang for Your Buck: Natural Perturbation for Robust Question Answering. EMNLP (1) 2020: 163-170 - [c95]Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi:
UnifiedQA: Crossing Format Boundaries With a Single QA System. EMNLP (Findings) 2020: 1896-1907 - [c94]Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar:
UNQOVERing Stereotypical Biases via Underspecified Questions. EMNLP (Findings) 2020: 3475-3489 - [i40]Daniel Khashabi, Tushar Khot, Ashish Sabharwal:
Natural Perturbation for Robust Question Answering. CoRR abs/2004.04849 (2020) - [i38]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi:
UnifiedQA: Crossing Format Boundaries With a Single QA System. CoRR abs/2005.00700 (2020) - [i35]Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. CoRR abs/2009.00751 (2020) - [i34]Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek Srikumar:
UnQovering Stereotyping Biases via Underspecified Questions. CoRR abs/2010.02428 (2020) - 2019
- [i31]Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth:
On the Capabilities and Limitations of Reasoning for Natural Language Understanding. CoRR abs/1901.02522 (2019) - [i29]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning over Semantic Abstractions. CoRR abs/1906.03672 (2019) - [i28]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:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. CoRR abs/1909.01958 (2019) - [i23]Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth:
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses. CoRR abs/1911.03850 (2019) - 2018
- [c83]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Question Answering as Global Reasoning Over Semantic Abstractions. AAAI 2018: 1905-1914 - 2017
- [c74]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Learning What is Essential in Questions. CoNLL 2017: 80-89 - 2016
- [c71]Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi:
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions. AAAI 2016: 2580-2586 - [c67]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth:
Question Answering via Integer Programming over Semi-Structured Knowledge. IJCAI 2016: 1145-1152 - [i11]Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth:
Question Answering via Integer Programming over Semi-Structured Knowledge. CoRR abs/1604.06076 (2016)
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