Seguir
Borui Wang
Borui Wang
Computer Science Department, Yale University
Dirección de correo verificada de yale.edu - Página principal
Título
Citado por
Citado por
Año
Action-agnostic human pose forecasting
H Chiu, E Adeli, B Wang, DA Huang, JC Niebles
2019 IEEE winter conference on applications of computer vision (WACV), 1423-1432, 2019
1642019
Imitation learning for human pose prediction
B Wang, E Adeli, H Chiu, DA Huang, JC Niebles
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1152019
Kat: A knowledge augmented transformer for vision-and-language
L Gui, B Wang, Q Huang, A Hauptmann, Y Bisk, J Gao
arXiv preprint arXiv:2112.08614, 2021
1092021
ConvoSumm: Conversation summarization benchmark and improved abstractive summarization with argument mining
AR Fabbri, F Rahman, I Rizvi, B Wang, H Li, Y Mehdad, D Radev
arXiv preprint arXiv:2106.00829, 2021
552021
CONFIT: Toward faithful dialogue summarization with linguistically-informed contrastive fine-tuning
X Tang, A Nair, B Wang, B Wang, J Desai, A Wade, H Li, A Celikyilmaz, ...
arXiv preprint arXiv:2112.08713, 2021
512021
Investigating crowdsourcing protocols for evaluating the factual consistency of summaries
X Tang, A Fabbri, H Li, Z Mao, GT Adams, B Wang, A Celikyilmaz, ...
arXiv preprint arXiv:2109.09195, 2021
142021
Reward backpropagation prioritized experience replay
Y Zhong, B Wang, Y Wang
42017
Strudel: Structured dialogue summarization for dialogue comprehension
B Wang, C Feng, A Nair, M Mao, J Desai, A Celikyilmaz, H Li, Y Mehdad, ...
arXiv preprint arXiv:2212.12652, 2022
22022
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
B Wang, Q Huang, B Deb, A Halfaker, L Shao, D McDuff, A Hassan, ...
Findings of the Association for Computational Linguistics: ACL 2023, 1762-1773, 2023
12023
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
B Wang, G Gordon
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6118-6126, 2020
12020
Spectral Learning of General Latent-Variable Probabilistic Graphical Models: A Supervised Learning Approach
B Wang
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–11