Follow
Wojciech Kryściński
Wojciech Kryściński
Salesforce Research
Verified email at salesforce.com
Title
Cited by
Cited by
Year
Evaluating the factual consistency of abstractive text summarization
W Kryściński, B McCann, C Xiong, R Socher
arXiv preprint arXiv:1910.12840, 2019
3302019
Neural text summarization: A critical evaluation
W Kryściński, NS Keskar, B McCann, C Xiong, R Socher
arXiv preprint arXiv:1908.08960, 2019
2582019
Summeval: Re-evaluating summarization evaluation
AR Fabbri, W Kryściński, B McCann, C Xiong, R Socher, D Radev
Transactions of the Association for Computational Linguistics 9, 391-409, 2021
2122021
Improving abstraction in text summarization
W Kryściński, R Paulus, C Xiong, R Socher
arXiv preprint arXiv:1808.07913, 2018
1362018
Ctrlsum: Towards generic controllable text summarization
J He, W Kryściński, B McCann, N Rajani, C Xiong
arXiv preprint arXiv:2012.04281, 2020
582020
Abstraction of text summarization
R Paulus, W Kryscinski, C Xiong
US Patent 10,909,157, 2021
332021
Booksum: A collection of datasets for long-form narrative summarization
W Kryściński, N Rajani, D Agarwal, C Xiong, D Radev
arXiv preprint arXiv:2105.08209, 2021
292021
Long document summarization with top-down and bottom-up inference
B Pang, E Nijkamp, W Kryściński, S Savarese, Y Zhou, C Xiong
arXiv preprint arXiv:2203.07586, 2022
122022
Summvis: Interactive visual analysis of models, data, and evaluation for text summarization
J Vig, W Kryściński, K Goel, NF Rajani
arXiv preprint arXiv:2104.07605, 2021
82021
FeTaQA: free-form table question answering
L Nan, C Hsieh, Z Mao, XV Lin, N Verma, R Zhang, W Kryściński, ...
Transactions of the Association for Computational Linguistics 10, 35-49, 2022
7*2022
Exploring neural models for query-focused summarization
J Vig, AR Fabbri, W Kryściński, CS Wu, W Liu
arXiv preprint arXiv:2112.07637, 2021
72021
Hydrasum: Disentangling stylistic features in text summarization using multi-decoder models
T Goyal, NF Rajani, W Liu, W Kryściński
arXiv preprint arXiv:2110.04400, 2021
72021
Sketch-Fill-AR: A persona-grounded chit-chat generation framework
M Shum, S Zheng, W Kryściński, C Xiong, R Socher
arXiv preprint arXiv:1910.13008, 2019
72019
Understanding factual errors in summarization: Errors, summarizers, datasets, error detectors
L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yahvuz, W Kryściński, ...
arXiv preprint arXiv:2205.12854, 2022
52022
{CTRL} sum: Towards generic controllable text summarization. arXiv
J He, W Kryscinski, B McCann, N Rajani, C Xiong
arXiv preprint arXiv:2012.04281, 2020
52020
What's New? Summarizing Contributions in Scientific Literature
H Hayashi, W Kryściński, B McCann, N Rajani, C Xiong
arXiv preprint arXiv:2011.03161, 2020
42020
Folio: Natural language reasoning with first-order logic
S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, L Benson, L Sun, E Zubova, ...
arXiv preprint arXiv:2209.00840, 2022
32022
Improving the faithfulness of abstractive summarization via entity coverage control
H Zhang, S Yavuz, W Kryscinski, K Hashimoto, Y Zhou
arXiv preprint arXiv:2207.02263, 2022
22022
Evaluating the Factual Consistency of Abstractive Text Summarization
W Kryscinski, B McCann
US Patent App. 16/750,598, 2021
22021
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization
A Pagnoni, AR Fabbri, W Kryściński, CS Wu
arXiv preprint arXiv:2212.10449, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20