Arun Tejasvi Chaganty
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2012–2023
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | 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 |
| 2023 | SIGIR | 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 |
| 2022 | ICML | Dialog Inpainting: Turning Documents into Dialogs. | Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu |
| 2019 | CoNLL | Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue. | Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang |
| 2018 | ACL | The price of debiasing automatic metrics in natural language evalaution. | Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang |
| 2018 | EMNLP | 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 |
| 2017 | EMNLP | Importance sampling for unbiased on-demand evaluation of knowledge base population. | Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning |
| 2016 | ACL | How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. | Arun Tejasvi Chaganty, Percy Liang |
| 2015 | AISTATS | Tensor Factorization via Matrix Factorization. | Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang |
| 2014 | ICML | Estimating Latent-Variable Graphical Models using Moments and Likelihoods. | Arun Tejasvi Chaganty, Percy Liang |
| 2013 | AISTATS | Efficiently Sampling Probabilistic Programs via Program Analysis. | Arun Tejasvi Chaganty, Aditya V. Nori, Sriram K. Rajamani |
| 2013 | CAV | Combining Relational Learning with SMT Solvers Using CEGAR. | Arun Tejasvi Chaganty, Akash Lal, Aditya V. Nori, Sriram K. Rajamani |
| 2013 | ICML | Spectral Experts for Estimating Mixtures of Linear Regressions. | Arun Tejasvi Chaganty, Percy Liang |
| 2012 | AAMAS | Learning in a small world. | Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran |