Arun Tejasvi Chaganty

According to our database, Arun Tejasvi Chaganty authored at least 27 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models.

Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty

CoRR, 2023

Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset.

Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RARR: Researching and Revising What Language Models Say, Using Language Models.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Attributed Text Generation via Post-hoc Research and Revision.

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

CoRR, 2022

Dialog Inpainting: Turning Documents into Dialogs.

Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu

Proceedings of the International Conference on Machine Learning, 2022

2020

Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings.

Justin Dieter, Arun Tejasvi Chaganty

CoRR, 2020

2019

Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue.

Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Natural language evaluation with humans in the loop and statistical estimators.

Arun Tejasvi Chaganty

PhD thesis, 2018

The price of debiasing automatic metrics in natural language evaluation.

Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang

CoRR, 2018

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.

Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The price of debiasing automatic metrics in natural language evalaution.

Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.

Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning

Proceedings of the 2017 Text Analysis Conference, 2017

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.

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

Proceedings of the 2017 Text Analysis Conference, 2017

Importance sampling for unbiased on-demand evaluation of knowledge base population.

Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.

Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning

Proceedings of the 2016 Text Analysis Conference, 2016

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions.

Arun Tejasvi Chaganty, Percy Liang

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings.

Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang

CoRR, 2015

Bootstrapped Self Training for Knowledge Base Population.

Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning

Proceedings of the 2015 Text Analysis Conference, 2015

On-the-Job Learning with Bayesian Decision Theory.

Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Estimating Mixture Models via Mixtures of Polynomials.

Sida Wang, Arun Tejasvi Chaganty, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Tensor Factorization via Matrix Factorization.

Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Estimating Latent-Variable Graphical Models using Moments and Likelihoods.

Arun Tejasvi Chaganty, Percy Liang

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Stanford's 2013 KBP System.

Gabor Angeli, Arun Tejasvi Chaganty, Angel X. Chang, Kevin Reschke, Julie Tibshirani, Jean Wu, Osbert Bastani, Keith Siilats, Christopher D. Manning

Proceedings of the Sixth Text Analysis Conference, 2013

Spectral Experts for Estimating Mixtures of Linear Regressions.

Arun Tejasvi Chaganty, Percy Liang

Proceedings of the 30th International Conference on Machine Learning, 2013

Combining Relational Learning with SMT Solvers Using CEGAR.

Arun Tejasvi Chaganty, Akash Lal, Aditya V. Nori, Sriram K. Rajamani

Proceedings of the Computer Aided Verification - 25th International Conference, 2013

Efficiently Sampling Probabilistic Programs via Program Analysis.

Arun Tejasvi Chaganty, Aditya V. Nori, Sriram K. Rajamani

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Learning in a small world.

Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012