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Shashank Srivastava
Shashank Srivastava
UNC Chapel Hill
Підтверджена електронна адреса в cs.unc.edu - Домашня сторінка
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Посилання
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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
13592022
Improving and simplifying pattern exploiting training
D Tam, RR Menon, M Bansal, S Srivastava, C Raffel
arXiv preprint arXiv:2103.11955, 2021
1542021
Joint concept learning and semantic parsing from natural language explanations
S Srivastava, I Labutov, T Mitchell
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
1042017
Identifying metaphorical word use with tree kernels
D Hovy, S Srivastava, SK Jauhar, M Sachan, K Goyal, L Huiying, ...
Proceedings of the First Workshop on Metaphor in NLP, 2013
1042013
PRover: Proof generation for interpretable reasoning over rules
S Saha, S Ghosh, S Srivastava, M Bansal
arXiv preprint arXiv:2010.02830, 2020
912020
Zero-shot learning of classifiers from natural language quantification
S Srivastava, I Labutov, T Mitchell
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
722018
Inferring interpersonal relations in narrative summaries
S Srivastava, S Chaturvedi, T Mitchell
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
692016
Modeling evolving relationships between characters in literary novels
S Chaturvedi, S Srivastava, H Daume III, C Dyer
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
562016
Identifying and manipulating the personality traits of language models
G Caron, S Srivastava
arXiv preprint arXiv:2212.10276, 2022
432022
A walk-based semantically enriched tree kernel over distributed word representations
S Srivastava, D Hovy, E Hovy
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
402013
Spatial compactness meets topical consistency: Jointly modeling links and content for community detection
M Sachan, A Dubey, S Srivastava, EP Xing, E Hovy
Proceedings of the 7th ACM international conference on Web search and data …, 2014
282014
A structured distributional semantic model for event co-reference
K Goyal, SK Jauhar, H Li, M Sachan, S Srivastava, E Hovy
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
262013
Where have i heard this story before? identifying narrative similarity in movie remakes
S Chaturvedi, S Srivastava, D Roth
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
232018
Predicting difficulty and discrimination of natural language questions
M Byrd, S Srivastava
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
192022
Adversarial scrubbing of demographic information for text classification
SBR Chowdhury, S Ghosh, Y Li, JB Oliva, S Srivastava, S Chaturvedi
arXiv preprint arXiv:2109.08613, 2021
172021
LIA: A natural language programmable personal assistant
I Labutov, S Srivastava, T Mitchell
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
172018
How helpful is inverse reinforcement learning for table-to-text generation?
S Ghosh, Z Qi, S Chaturvedi, S Srivastava
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
152021
An agent for learning new natural language commands
A Azaria, S Srivastava, J Krishnamurthy, I Labutov, TM Mitchell
Autonomous Agents and Multi-Agent Systems 34 (1), 6, 2020
142020
Beyond labels: Empowering human annotators with natural language explanations through a novel active-learning architecture
B Yao, I Jindal, L Popa, Y Katsis, S Ghosh, L He, Y Lu, S Srivastava, Y Li, ...
arXiv preprint arXiv:2305.12710, 2023
132023
CLUES: A benchmark for learning classifiers using natural language explanations
RR Menon, S Ghosh, S Srivastava
arXiv preprint arXiv:2204.07142, 2022
112022
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