Követés
Wojciech Kry¶ciński
Wojciech Kry¶ciński
Cohere
E-mail megerősítve itt: cohere.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
Evaluating the factual consistency of abstractive text summarization
W Kry¶ciński, B McCann, C Xiong, R Socher
arXiv preprint arXiv:1910.12840, 2019
6212019
Summeval: Re-evaluating summarization evaluation
AR Fabbri, W Kry¶ciński, B McCann, C Xiong, R Socher, D Radev
Transactions of the Association for Computational Linguistics 9, 391-409, 2021
5282021
Neural text summarization: A critical evaluation
W Kry¶ciński, NS Keskar, B McCann, C Xiong, R Socher
arXiv preprint arXiv:1908.08960, 2019
3782019
Improving abstraction in text summarization
W Kry¶ciński, R Paulus, C Xiong, R Socher
arXiv preprint arXiv:1808.07913, 2018
1892018
Ctrlsum: Towards generic controllable text summarization
J He, W Kry¶ciński, B McCann, N Rajani, C Xiong
arXiv preprint arXiv:2012.04281, 2020
1242020
Booksum: A collection of datasets for long-form narrative summarization
W Kry¶ciński, N Rajani, D Agarwal, C Xiong, D Radev
arXiv preprint arXiv:2105.08209, 2021
892021
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
73*2022
Fetaqa: Free-form table question answering
L Nan, C Hsieh, Z Mao, XV Lin, N Verma, R Zhang, W Kry¶ciński, ...
Transactions of the Association for Computational Linguistics 10, 35-49, 2022
69*2022
Abstraction of text summarization
R Paulus, W Kryscinski, C Xiong
US Patent 10,909,157, 2021
652021
Understanding factual errors in summarization: Errors, summarizers, datasets, error detectors
L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kry¶ciński, ...
arXiv preprint arXiv:2205.12854, 2022
552022
Long document summarization with top-down and bottom-up inference
B Pang, E Nijkamp, W Kry¶ciński, S Savarese, Y Zhou, C Xiong
arXiv preprint arXiv:2203.07586, 2022
362022
Exploring neural models for query-focused summarization
J Vig, AR Fabbri, W Kry¶ciński, CS Wu, W Liu
arXiv preprint arXiv:2112.07637, 2021
352021
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
21*2023
Llms as factual reasoners: Insights from existing benchmarks and beyond
P Laban, W Kry¶ciński, D Agarwal, AR Fabbri, C Xiong, S Joty, CS Wu
arXiv preprint arXiv:2305.14540, 2023
212023
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
202022
Agent persona grounded chit-chat generation framework
S Zheng, W Kryscinski, S Michael, R Socher, C Xiong
US Patent 11,087,092, 2021
202021
SummVis: Interactive visual analysis of models, data, and evaluation for text summarization
J Vig, W Kry¶ciński, K Goel, NF Rajani
arXiv preprint arXiv:2104.07605, 2021
192021
HydraSum: Disentangling style features in text summarization with multi-decoder models
T Goyal, N Rajani, W Liu, W Kry¶ciński
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
16*2022
Sketch-Fill-AR: A persona-grounded chit-chat generation framework
M Shum, S Zheng, W Kry¶ciński, C Xiong, R Socher
arXiv preprint arXiv:1910.13008, 2019
102019
Socratic pretraining: Question-driven pretraining for controllable summarization
A Pagnoni, AR Fabbri, W Kry¶ciński, CS Wu
arXiv preprint arXiv:2212.10449, 2022
92022
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