Arun Tejasvi Chaganty

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Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Zhuyun DaiGoogleVerified email at google.com
Kelvin GuuSenior Staff Research Scientist, GoogleVerified email at google.com
Vincent Y. ZhaoResearch Engineer, Google BrainVerified email at google.com
Ni LaoGoogleVerified email at cs.cmu.edu
Anthony ChenGoogle DeepMindVerified email at google.com
Luyu GaoCarnegie Mellon UniversityVerified email at cs.cmu.edu
Da-Cheng JuanGoogle Research, National Tsing Hua University, Carnegie Mellon UniversityVerified email at dacheng.info
Volodymyr KuleshovCornell TechVerified email at stanford.edu
Aditya NoriMicrosoft ResearchVerified email at microsoft.com
Sriram RajamaniMicrosoft Research Verified email at microsoft.com
Gabor AngeliGoogleVerified email at cs.stanford.edu
Ashwin ParanjapeFounding engineer, Samaya AIVerified email at cs.stanford.edu
Matthew LammPhD Student in Linguistics, Stanford UniversityVerified email at stanford.edu
Danqi ChenPrinceton UniversityVerified email at cs.princeton.edu
Stephen MussmannIncoming Assistant Professor, Georgia TechVerified email at gatech.edu
Aida AminiUniversity of WashingtonVerified email at cs.washington.edu
Akash LalMicrosoft Research, IndiaVerified email at microsoft.com
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu

Arun Tejasvi Chaganty

Other namesArun Chaganty

Google Inc.

Verified email at cs.stanford.edu - Homepage

Artificial Intelligence Machine Learning Natural Language Processing


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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	169	2022
Spectral experts for estimating mixtures of linear regressions AT Chaganty, P Liang International Conference on Machine Learning, 1040-1048, 2013	167	2013
The price of debiasing automatic metrics in natural language evaluation AT Chaganty, S Mussman, P Liang arXiv preprint arXiv:1807.02202, 2018	137	2018
Tensor factorization via matrix factorization V Kuleshov, A Chaganty, P Liang Artificial Intelligence and Statistics, 507-516, 2015	99	2015
Efficiently sampling probabilistic programs via program analysis A Chaganty, A Nori, S Rajamani Artificial Intelligence and Statistics, 153-160, 2013	60	2013
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	52	2022
Bootstrapped Self Training for Knowledge Base Population. G Angeli, V Zhong, D Chen, AT Chaganty, J Bolton, MJJ Premkumar, ... TAC, 2015	45	2015
Estimating latent-variable graphical models using moments and likelihoods AT Chaganty, P Liang International Conference on Machine Learning, 1872-1880, 2014	33	2014
On-the-job learning with bayesian decision theory K Werling, AT Chaganty, PS Liang, CD Manning Advances in Neural Information Processing Systems 28, 2015	31	2015
Probabilistic model approximation for statistical relational learning AT Chaganty, A Lal, AV Nori, S Rajamani US Patent App. 13/308,571, 2013	26	2013
How much is 131 million dollars? putting numbers in perspective with compositional descriptions AT Chaganty, P Liang arXiv preprint arXiv:1609.00070, 2016	25	2016
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	24	2017
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	23	2018
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	21	2022
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	20	2016
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ... TAC, 2017	18	2017
Stanford's 2013 KBP System. G Angeli, AT Chaganty, AX Chang, K Reschke, J Tibshirani, J Wu, ... TAC, 2013	16	2013
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	15	2013
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	11	2019
Qsrl: A semantic role-labeling schema for quantitative facts M Lamm, A Chaganty, D Jurafsky, CD Manning, P Liang The First Financial Narrative Processing Workshop (FNP 2018) 44, 2018	11	2018

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