Tushar Khot
Tushar Khot
Allen Institute for AI; University of Wisconsin-Madison
Потвърден имейл адрес: allenai.org - Начална страница
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
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
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
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
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
M Geva, D Khashabi, E Segal, T Khot, D Roth, J Berant
Transactions of the Association for Computational Linguistics 9, 346-361, 2021
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
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
Gradient-based boosting for statistical relational learning: The relational dependency network case
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Machine Learning 86, 25-56, 2012
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
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
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
Learning markov logic networks via functional gradient boosting
T Khot, S Natarajan, K Kersting, J Shavlik
2011 IEEE 11th international conference on data mining, 320-329, 2011
How far can camels go? exploring the state of instruction tuning on open resources
Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, K Chandu, D Wadden, ...
Advances in Neural Information Processing Systems 36, 2024
Answering Complex Questions Using Open Information Extraction
T Khot, A Sabharwal, P Clark
ACL, 311--316, 2017
Question answering via integer programming over semi-structured knowledge
D Khashabi, T Khot, A Sabharwal, P Clark, O Etzioni, D Roth
IJCAI, 2016
From ‘f’to ‘a’on the ny regents science exams: An overview of the aristo project
P Clark, O Etzioni, T Khot, D Khashabi, B Mishra, K Richardson, ...
Ai Magazine 41 (4), 39-53, 2020
Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions
H Trivedi, N Balasubramanian, T Khot, A Sabharwal
arXiv preprint arXiv:2212.10509, 2022
Adventure: Adversarial training for textual entailment with knowledge-guided examples
D Kang, T Khot, A Sabharwal, E Hovy
arXiv preprint arXiv:1805.04680, 2018
Specializing smaller language models towards multi-step reasoning
Y Fu, H Peng, L Ou, A Sabharwal, T Khot
International Conference on Machine Learning, 10421-10430, 2023
UNQOVERing Stereotyping Biases via Underspecified Questions
T Li, T Khot, D Khashabi, A Sabharwal, V Srikumar
Findings of EMNLP, 2020
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