Polina Zablotskaia

16 papers A* 3A 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality.
CoRR
Aileen Cheng, Alon Jacovi, Amir Globerson, Ben Golan, Charles Kwong, Chris Alberti, Connie Tao, Eyal Ben-David, Gaurav Singh Tomar, Lukas Haas, Yonatan Bitton, Adam Bloniarz, Aijun Bai, Andrew Wang, Anfal Siddiqui, Arturo Bajuelos Castillo, Aviel Atias, Chang Liu, Corey Fry, Daniel Balle, Deepanway Ghosal, Doron Kukliansky, Dror Marcus, Elena Gribovskaya, Eran Ofek, Honglei Zhuang, Itay Laish, Jan Ackermann, Lily Wang, Meg Risdal, Megan Barnes, Michael Fink, Mohamed Amin, Moran Ambar, Natan Potikha, Nikita Gupta, Nitzan Katz, Noam Velan, Ofir Roval, Ori Ram, Polina Zablotskaia, Prathamesh Bang, Priyanka Agrawal, Rakesh Ghiya, Sanjay Ganapathy, Simon Baumgartner, Sofia Erell, Sushant Prakash, Thibault Sellam, Vikram Rao, Xuanhui Wang, Yaroslav Akulov, Yulong Yang, Zhen Yang, Zhixin Lai, Zhongru Wu, Anca Dragan, Avinatan Hassidim, Fernando Pereira, Slav Petrov, Srinivasan Venkatachary, Tulsee Doshi, Yossi Matias, Sasha Goldshtein, Dipanjan Das
2023 J jnl
Calibrating Likelihoods towards Consistency in Summarization Models.
CoRR
Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan
2023 — conf
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.
EMNLP (Findings)
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
2023 J jnl
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.
CoRR
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
2023 A* conf
Theoretical and Practical Perspectives on what Influence Functions Do.
NeurIPS
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
2023 J jnl
Theoretical and Practical Perspectives on what Influence Functions Do.
CoRR
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
2022 A* conf
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification.
EMNLP
Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova
2022 J jnl
Breaking BERT: Evaluating and Optimizing Sparsified Attention.
CoRR
Siddhartha Brahma, Polina Zablotskaia, David Mimno
2022 A* conf
Scaling Up Influence Functions.
AAAI
Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov
2021 J jnl
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification.
CoRR
Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova
2021 A conf
PROVIDE: a probabilistic framework for unsupervised video decomposition.
UAI
Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2021 J jnl
Scaling Up Influence Functions.
CoRR
Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov
2020 J jnl
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference.
CoRR
Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2019 A conf
DwNet: Dense warp-based network for pose-guided human video generation.
BMVC
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal
2019 J jnl
DwNet: Dense warp-based network for pose-guided human video generation.
CoRR
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal
2016 — conf
On Impact of Weather on Human Mobility in Cities.
WISE (2)
Jun Pang, Polina Zablotskaia, Yang Zhang