Polina Zablotskaia

According to our database, Polina Zablotskaia authored at least 11 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality.

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

CoRR, December, 2025

2023

Calibrating Likelihoods towards Consistency in Summarization Models.

Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan

CoRR, 2023

Theoretical and Practical Perspectives on what Influence Functions Do.

Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.

Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Breaking BERT: Evaluating and Optimizing Sparsified Attention.

Siddhartha Brahma, Polina Zablotskaia, David Mimno

CoRR, 2022

"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification.

Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Scaling Up Influence Functions.

Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PROVIDE: a probabilistic framework for unsupervised video decomposition.

Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Unsupervised Video Decomposition using Spatio-temporal Iterative Inference.

Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann

CoRR, 2020

2019

DwNet: Dense warp-based network for pose-guided human video generation.

Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2016

On Impact of Weather on Human Mobility in Cities.

Jun Pang, Polina Zablotskaia, Yang Zhang

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016