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ORCIDArun Tejasvi Chaganty
Person information
- affiliation: Google LLC, Mountain View, CA, USA
- affiliation (former): Stanford University, Computer Science Department, USA
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2020 – today
- 2023
[c16]Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu:
RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 2023: 16477-16508- [c15]Arun Tejasvi Chaganty
, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. SIGIR 2023: 2754-2764 - [i18]Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty:
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. CoRR abs/2301.11489 (2023) - [i17]Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. CoRR abs/2303.06791 (2023) - 2022
- [c14]Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu:
Dialog Inpainting: Turning Documents into Dialogs. ICML 2022: 4558-4586 - [i16]Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu:
Dialog Inpainting: Turning Documents into Dialogs. CoRR abs/2205.09073 (2022) - [i15]Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu:
Attributed Text Generation via Post-hoc Research and Revision. CoRR abs/2210.08726 (2022) - 2020
- [i14]Justin Dieter, Arun Tejasvi Chaganty:
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings. CoRR abs/2010.04842 (2020)
2010 – 2019
- 2019
- [c13]Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang:
Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. CoNLL 2019: 393-403 - 2018
- [b1]Arun Tejasvi Chaganty:
Natural language evaluation with humans in the loop and statistical estimators. Stanford University, USA, 2018 - [c12]Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang:
The price of debiasing automatic metrics in natural language evalaution. ACL (1) 2018: 643-653 - [c11]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP 2018: 82-92 - [i13]Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang:
The price of debiasing automatic metrics in natural language evaluation. CoRR abs/1807.02202 (2018) - [i12]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. CoRR abs/1809.02700 (2018) - 2017
- [c10]Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning:
Importance sampling for unbiased on-demand evaluation of knowledge base population. EMNLP 2017: 1038-1048 - [i11]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i10]Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning:
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC 2017 - 2016
- [c9]Arun Tejasvi Chaganty, Percy Liang:
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. ACL (1) 2016 - [i9]Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning:
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. TAC 2016 - [i8]Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang:
Estimating Mixture Models via Mixtures of Polynomials. CoRR abs/1603.08482 (2016) - [i7]Arun Tejasvi Chaganty, Percy Liang:
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. CoRR abs/1609.00070 (2016) - 2015
- [c8]Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang:
Tensor Factorization via Matrix Factorization. AISTATS 2015 - [c7]Sida Wang, Arun Tejasvi Chaganty, Percy Liang:
Estimating Mixture Models via Mixtures of Polynomials. NIPS 2015: 487-495 - [c6]Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning:
On-the-Job Learning with Bayesian Decision Theory. NIPS 2015: 3465-3473 - [i6]Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning:
Bootstrapped Self Training for Knowledge Base Population. TAC 2015 - [i5]Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang:
Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings. CoRR abs/1501.06318 (2015) - [i4]Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang:
Tensor Factorization via Matrix Factorization. CoRR abs/1501.07320 (2015) - [i3]Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning:
On-the-Job Learning with Bayesian Decision Theory. CoRR abs/1506.03140 (2015) - 2014
- [c5]Arun Tejasvi Chaganty, Percy Liang:
Estimating Latent-Variable Graphical Models using Moments and Likelihoods. ICML 2014: 1872-1880 - 2013
- [c4]Arun Tejasvi Chaganty, Aditya V. Nori, Sriram K. Rajamani:
Efficiently Sampling Probabilistic Programs via Program Analysis. AISTATS 2013: 153-160 - [c3]Arun Tejasvi Chaganty, Akash Lal, Aditya V. Nori, Sriram K. Rajamani:
Combining Relational Learning with SMT Solvers Using CEGAR. CAV 2013: 447-462 - [c2]Arun Tejasvi Chaganty, Percy Liang:
Spectral Experts for Estimating Mixtures of Linear Regressions. ICML (3) 2013: 1040-1048 - [i2]Gabor Angeli, Arun Tejasvi Chaganty, Angel X. Chang, Kevin Reschke, Julie Tibshirani, Jean Wu, Osbert Bastani, Keith Siilats, Christopher D. Manning:
Stanford's 2013 KBP System. TAC 2013 - [i1]Arun Tejasvi Chaganty, Percy Liang:
Spectral Experts for Estimating Mixtures of Linear Regressions. CoRR abs/1306.3729 (2013) - 2012
- [c1]Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran:
Learning in a small world. AAMAS 2012: 391-397
Coauthor Index
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