Arun Tejasvi Chaganty

35 papers A* 6A 3B 1Journal 13Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. SIGIR Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski
2023	J	`jnl`	Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. CoRR Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski
2023	J	`jnl`	Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. CoRR Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty
2023	—	`conf`	RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 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
2022	J	`jnl`	Attributed Text Generation via Post-hoc Research and Revision. CoRR 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
2022	A*	`conf`	Dialog Inpainting: Turning Documents into Dialogs. ICML Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu
2022	J	`jnl`	Dialog Inpainting: Turning Documents into Dialogs. CoRR Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu
2020	J	`jnl`	Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings. CoRR Justin Dieter, Arun Tejasvi Chaganty
2019	B	`conf`	Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. CoNLL Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang
2018	—	`—`	Natural language evaluation with humans in the loop and statistical estimators. Arun Tejasvi Chaganty
2018	A*	`conf`	Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang
2018	J	`jnl`	Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. CoRR Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang
2018	—	`conf`	The price of debiasing automatic metrics in natural language evalaution. ACL (1) Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang
2018	J	`jnl`	The price of debiasing automatic metrics in natural language evaluation. CoRR Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang
2017	A*	`conf`	Importance sampling for unbiased on-demand evaluation of knowledge base population. EMNLP Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning
2017	—	`conf`	Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning
2017	—	`conf`	TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 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
2016	J	`jnl`	Estimating Mixture Models via Mixtures of Polynomials. CoRR Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
2016	—	`conf`	How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. ACL (1) Arun Tejasvi Chaganty, Percy Liang
2016	J	`jnl`	How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. CoRR Arun Tejasvi Chaganty, Percy Liang
2016	—	`conf`	Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. TAC Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning
2015	—	`conf`	Bootstrapped Self Training for Knowledge Base Population. TAC Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning
2015	—	`conf`	Estimating Mixture Models via Mixtures of Polynomials. NIPS Sida Wang, Arun Tejasvi Chaganty, Percy Liang
2015	—	`conf`	On-the-Job Learning with Bayesian Decision Theory. NIPS Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning
2015	J	`jnl`	On-the-Job Learning with Bayesian Decision Theory. CoRR Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning
2015	J	`jnl`	Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings. CoRR Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
2015	A	`conf`	Tensor Factorization via Matrix Factorization. AISTATS Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
2015	J	`jnl`	Tensor Factorization via Matrix Factorization. CoRR Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
2014	A*	`conf`	Estimating Latent-Variable Graphical Models using Moments and Likelihoods. ICML Arun Tejasvi Chaganty, Percy Liang
2013	A*	`conf`	Combining Relational Learning with SMT Solvers Using CEGAR. CAV Arun Tejasvi Chaganty, Akash Lal, Aditya V. Nori, Sriram K. Rajamani
2013	A	`conf`	Efficiently Sampling Probabilistic Programs via Program Analysis. AISTATS Arun Tejasvi Chaganty, Aditya V. Nori, Sriram K. Rajamani
2013	—	`conf`	Spectral Experts for Estimating Mixtures of Linear Regressions. ICML (3) Arun Tejasvi Chaganty, Percy Liang
2013	J	`jnl`	Spectral Experts for Estimating Mixtures of Linear Regressions. CoRR Arun Tejasvi Chaganty, Percy Liang
2013	—	`conf`	Stanford's 2013 KBP System. TAC Gabor Angeli, Arun Tejasvi Chaganty, Angel X. Chang, Kevin Reschke, Julie Tibshirani, Jean Wu, Osbert Bastani, Keith Siilats, Christopher D. Manning
2012	A	`conf`	Learning in a small world. AAMAS Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran