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Arun Tejasvi Chaganty
Arun Tejasvi Chaganty
Google Inc.
Zweryfikowany adres z cs.stanford.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Rarr: Researching and revising what language models say, using language models
L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, VY Zhao, N Lao, ...
arXiv preprint arXiv:2210.08726, 2022
2492022
Spectral experts for estimating mixtures of linear regressions
AT Chaganty, P Liang
International Conference on Machine Learning, 1040-1048, 2013
1712013
The price of debiasing automatic metrics in natural language evaluation
AT Chaganty, S Mussman, P Liang
arXiv preprint arXiv:1807.02202, 2018
1462018
Tensor factorization via matrix factorization
V Kuleshov, A Chaganty, P Liang
Artificial Intelligence and Statistics, 507-516, 2015
1052015
Dialog inpainting: Turning documents into dialogs
Z Dai, AT Chaganty, VY Zhao, A Amini, QM Rashid, M Green, K Guu
International conference on machine learning, 4558-4586, 2022
612022
Efficiently sampling probabilistic programs via program analysis
A Chaganty, A Nori, S Rajamani
Artificial Intelligence and Statistics, 153-160, 2013
612013
Bootstrapped Self Training for Knowledge Base Population.
G Angeli, V Zhong, D Chen, AT Chaganty, J Bolton, MJJ Premkumar, ...
TAC, 2015
462015
Estimating latent-variable graphical models using moments and likelihoods
AT Chaganty, P Liang
International Conference on Machine Learning, 1872-1880, 2014
332014
On-the-job learning with bayesian decision theory
K Werling, AT Chaganty, PS Liang, CD Manning
Advances in Neural Information Processing Systems 28, 2015
302015
Probabilistic model approximation for statistical relational learning
AT Chaganty, A Lal, AV Nori, S Rajamani
US Patent App. 13/308,571, 2013
272013
Importance sampling for unbiased on-demand evaluation of knowledge base population
A Chaganty, A Paranjape, P Liang, CD Manning
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
252017
How much is 131 million dollars? putting numbers in perspective with compositional descriptions
AT Chaganty, P Liang
arXiv preprint arXiv:1609.00070, 2016
252016
Attributed text generation via post-hoc research and revision
L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, VY Zhao, N Lao, ...
arXiv preprint arXiv:2210.08726, 2022
232022
Textual analogy parsing: What's shared and what's compared among analogous facts
M Lamm, AT Chaganty, CD Manning, D Jurafsky, P Liang
arXiv preprint arXiv:1809.02700, 2018
232018
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.
Y Zhang, AT Chaganty, A Paranjape, D Chen, J Bolton, P Qi, CD Manning
TAC, 2016
212016
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ...
TAC, 2017
182017
Stanford's 2013 KBP System.
G Angeli, AT Chaganty, AX Chang, K Reschke, J Tibshirani, J Wu, ...
TAC, 2013
162013
Combining relational learning with SMT solvers using CEGAR
A Chaganty, A Lal, AV Nori, SK Rajamani
Computer Aided Verification: 25th International Conference, CAV 2013, Saint …, 2013
152013
Mimic and rephrase: reflective listening in open-ended dialogue
J Dieter, T Wang, AT Chaganty, G Angeli, A Chang
Proceedings of the 23rd Conference on Computational Natural Language …, 2019
142019
Learning in a small world
AT Chaganty, P Gaur, B Ravindran
Proceedings of the 11th International Conference on Autonomous Agents and …, 2012
142012
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