Learning in a small world. - Arun Tejasvi Chaganty; Prateek Gaur; Balaraman Ravindran (AAMAS, 2012)

Efficiently Sampling Probabilistic Programs via Program Analysis. - Arun Tejasvi Chaganty; Aditya V. Nori; Sriram K. Rajamani (AISTATS, 2013)

Combining Relational Learning with SMT Solvers Using CEGAR. - Arun Tejasvi Chaganty; Akash Lal; Aditya V. Nori; Sriram K. Rajamani (CAV, 2013)

Spectral Experts for Estimating Mixtures of Linear Regressions. - Arun Tejasvi Chaganty; Percy Liang (ICML (3), 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 (TAC, 2013)

Estimating Latent-Variable Graphical Models using Moments and Likelihoods. - Arun Tejasvi Chaganty; Percy Liang (ICML, 2014)

Tensor Factorization via Matrix Factorization. - Volodymyr Kuleshov; Arun Tejasvi Chaganty; Percy Liang (AISTATS, 2015)

Estimating Mixture Models via Mixtures of Polynomials. - Sida Wang 001; Arun Tejasvi Chaganty; Percy Liang (NIPS, 2015)

On-the-Job Learning with Bayesian Decision Theory. - Keenon Werling; Arun Tejasvi Chaganty; Percy Liang; Christopher D. Manning (NIPS, 2015)

Bootstrapped Self Training for Knowledge Base Population. - Gabor Angeli; Victor Zhong; Danqi Chen 001; Arun Tejasvi Chaganty; Jason Bolton; Melvin Jose Johnson Premkumar; Panupong Pasupat; Sonal Gupta; Christopher D. Manning (TAC, 2015)

Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings. - Volodymyr Kuleshov; Arun Tejasvi Chaganty; Percy Liang (CoRR, 2015)

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. - Arun Tejasvi Chaganty; Percy Liang (ACL (1), 2016)

Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. - Yuhao Zhang 004; Arun Tejasvi Chaganty; Ashwin Paranjape; Danqi Chen 001; Jason Bolton; Peng Qi 003; Christopher D. Manning (TAC, 2016)

Importance sampling for unbiased on-demand evaluation of knowledge base population. - Arun Tejasvi Chaganty; Ashwin Paranjape; Percy Liang; Christopher D. Manning (EMNLP, 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 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 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 004; Peng Qi 003; Christopher D. Manning (TAC, 2017)

The price of debiasing automatic metrics in natural language evalaution. - Arun Tejasvi Chaganty; Stephen Mussmann; Percy Liang (ACL (1), 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 (EMNLP, 2018)

The price of debiasing automatic metrics in natural language evaluation. - Arun Tejasvi Chaganty; Stephen Mussmann; Percy Liang (CoRR, 2018)

Natural language evaluation with humans in the loop and statistical estimators. - Arun Tejasvi Chaganty (2018)

Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. - Justin Dieter; Tian Wang; Arun Tejasvi Chaganty; Gabor Angeli; Angel X. Chang (CoNLL, 2019)

Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings. - Justin Dieter; Arun Tejasvi Chaganty (CoRR, 2020)

Dialog Inpainting: Turning Documents into Dialogs. - Zhuyun Dai; Arun Tejasvi Chaganty; Vincent Y. Zhao; Aida Amini; Qazi Mamunur Rashid; Mike Green; Kelvin Guu (ICML, 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)

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 (ACL (1), 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 (SIGIR, 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)