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Ashish Sabharwal
Ashish Sabharwal
Allen Institute for AI (AI2)
Email verificata su allenai.org - Home page
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Think you have solved question answering? try arc, the ai2 reasoning challenge
P Clark, I Cowhey, O Etzioni, T Khot, A Sabharwal, C Schoenick, O Tafjord
arXiv preprint arXiv:1803.05457, 2018
9232018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
7582022
Can a suit of armor conduct electricity? a new dataset for open book question answering
T Mihaylov, P Clark, T Khot, A Sabharwal
arXiv preprint arXiv:1809.02789, 2018
7392018
Scitail: A textual entailment dataset from science question answering
T Khot, A Sabharwal, P Clark
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
4662018
Towards understanding and harnessing the potential of clause learning
P Beame, H Kautz, A Sabharwal
Journal of artificial intelligence research 22, 319-351, 2004
4012004
Satisfiability solvers
CP Gomes, H Kautz, A Sabharwal, B Selman
Foundations of Artificial Intelligence 3, 89-134, 2008
3952008
Parsing algebraic word problems into equations
R Koncel-Kedziorski, H Hajishirzi, A Sabharwal, O Etzioni, SD Ang
Transactions of the Association for Computational Linguistics 3, 585-597, 2015
2582015
Unifiedqa: Crossing format boundaries with a single qa system
D Khashabi, S Min, T Khot, A Sabharwal, O Tafjord, P Clark, H Hajishirzi
arXiv preprint arXiv:2005.00700, 2020
2532020
Qasc: A dataset for question answering via sentence composition
T Khot, P Clark, M Guerquin, P Jansen, A Sabharwal
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8082-8090, 2020
2462020
Model counting
CP Gomes, A Sabharwal, B Selman
Handbook of satisfiability, 993-1014, 2021
2392021
Algorithm selection and scheduling
S Kadioglu, Y Malitsky, A Sabharwal, H Samulowitz, M Sellmann
Principles and Practice of Constraint Programming–CP 2011: 17th…, 2011
2112011
Complexity-based prompting for multi-step reasoning
Y Fu, H Peng, A Sabharwal, P Clark, T Khot
The Eleventh International Conference on Learning Representations, 2022
2042022
Adversarial filters of dataset biases
R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ...
International conference on machine learning, 1078-1088, 2020
1992020
Decomposed prompting: A modular approach for solving complex tasks
T Khot, H Trivedi, M Finlayson, Y Fu, K Richardson, P Clark, A Sabharwal
arXiv preprint arXiv:2210.02406, 2022
1962022
Model counting: A new strategy for obtaining good bounds
CP Gomes, A Sabharwal, B Selman
AAAI 6, 54-61, 2006
1722006
Combining retrieval, statistics, and inference to answer elementary science questions
P Clark, O Etzioni, T Khot, A Sabharwal, O Tafjord, P Turney, D Khashabi
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1682016
Taming the curse of dimensionality: Discrete integration by hashing and optimization
S Ermon, C Gomes, A Sabharwal, B Selman
International Conference on Machine Learning, 334-342, 2013
1502013
Near-uniform sampling of combinatorial spaces using XOR constraints
CP Gomes, A Sabharwal, B Selman
Advances In Neural Information Processing Systems 19, 2006
1442006
Probing natural language inference models through semantic fragments
K Richardson, H Hu, L Moss, A Sabharwal
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8713-8721, 2020
1402020
Understanding the power of clause learning
P Beame, H Kautz, A Sabharwal
IJCAI, 1194-1201, 2003
1302003
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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