Arun Tejasvi Chaganty

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 20

Top Topics

Natural Language

Matrix Factorization

Mixture Components

Top Venues

Publications

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 (2023)
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 (2023)
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)
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)
Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu
Dialog Inpainting: Turning Documents into Dialogs. CoRR (2022)
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)
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 (2022)
Justin Dieter, Arun Tejasvi Chaganty
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings. CoRR (2020)
Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang
Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. CoNLL (2019)
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 (2018)
Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang
The price of debiasing automatic metrics in natural language evalaution. ACL (1) (2018)
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)
Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang
The price of debiasing automatic metrics in natural language evaluation. CoRR (2018)
Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning
Importance sampling for unbiased on-demand evaluation of knowledge base population. EMNLP (2017)
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)
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)
Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
Estimating Mixture Models via Mixtures of Polynomials. CoRR (2016)
Arun Tejasvi Chaganty, Percy Liang
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. ACL (1) (2016)
Arun Tejasvi Chaganty, Percy Liang
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. CoRR (2016)
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)
Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings. CoRR (2015)
Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
Estimating Mixture Models via Mixtures of Polynomials. NIPS (2015)
Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
Tensor Factorization via Matrix Factorization. CoRR (2015)
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)
Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning
On-the-Job Learning with Bayesian Decision Theory. NIPS (2015)
Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
Tensor Factorization via Matrix Factorization. AISTATS (2015)
Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning
On-the-Job Learning with Bayesian Decision Theory. CoRR (2015)
Arun Tejasvi Chaganty, Percy Liang
Estimating Latent-Variable Graphical Models using Moments and Likelihoods. ICML (2014)
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)
Arun Tejasvi Chaganty, Aditya V. Nori, Sriram K. Rajamani
Efficiently Sampling Probabilistic Programs via Program Analysis. AISTATS (2013)
Arun Tejasvi Chaganty, Percy Liang
Spectral Experts for Estimating Mixtures of Linear Regressions. CoRR (2013)
Arun Tejasvi Chaganty, Percy Liang
Spectral Experts for Estimating Mixtures of Linear Regressions. ICML (3) (2013)
Arun Tejasvi Chaganty, Akash Lal, Aditya V. Nori, Sriram K. Rajamani
Combining Relational Learning with SMT Solvers Using CEGAR. CAV (2013)
Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran
Learning in a small world. AAMAS (2012)