Следене
Wei Bi
Wei Bi
Tencent AI LAB; HKUST
Потвърден имейл адрес: tencent.com
Заглавие
Позовавания
Позовавания
Година
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ...
8052023
Event extraction as machine reading comprehension
J Liu, Y Chen, K Liu, W Bi, X Liu
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
3422020
Multi-label classification on tree-and dag-structured hierarchies
W Bi, JT Kwok
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
2512011
Efficient Multi-label Classification with Many Labels
W Bi, JT Kwok
Proceedings of the 30th International Conference on Machine Learning (ICML …, 2013
2452013
Efficient Training of Visual Transformers with Small-Size Datasets
Y Liu, E Sangineto, W Bi, N Sebe, B Lepri, M De Nadai
NeurIPS 2021, 2021
211*2021
Large-scale Nyström kernel matrix approximation using randomized SVD
M Li, W Bi, JT Kwok, BL Lu
IEEE transactions on neural networks and learning systems 26 (1), 152-164, 2014
1422014
Multilabel Classification with Label Correlations and Missing Labels
W Bi, JT Kwok
Twenty-Eighth Conference on Artificial Intelligence, 2014
1072014
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
D Cai, Y Wang, V Bi, Z Tu, X Liu, W Lam, S Shi
NAACL2019, 2018
912018
Tablegpt: Few-shot table-to-text generation with table structure reconstruction and content matching
H Gong, Y Sun, X Feng, B Qin, W Bi, X Liu, T Liu
Proceedings of the 28th International Conference on Computational …, 2020
872020
Retrieval-guided dialogue response generation via a matching-to-generation framework
D Cai, Y Wang, W Bi, Z Tu, X Liu, S Shi
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
862019
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
Z Wu, L Kong, W Bi, X Li, B Kao
ACL2021, 2021
78*2021
A batch normalized inference network keeps the kl vanishing away
Q Zhu, J Su, W Bi, X Liu, X Ma, X Li, D Wu
ACL2020, 2020
782020
Learning to Predict from Crowdsourced Data
W Bi, L Wang, JT Kwok, Z Tu
Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
742014
Generating multiple diverse responses for short-text conversation
J Gao, W Bi, X Liu, J Li, S Shi
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6383-6390, 2019
632019
Mage: Machine-generated text detection in the wild
Y Li, Q Li, L Cui, W Bi, Z Wang, L Wang, L Yang, S Shi, Y Zhang
ACL2024, 2024
61*2024
Improving knowledge-aware dialogue generation via knowledge base question answering
J Wang, J Liu, W Bi, X Liu, K He, R Xu, M Yang
Proceedings of the AAAI conference on artificial intelligence 34 (05), 9169-9176, 2020
612020
Knowledge fusion of large language models
F Wan, X Huang, D Cai, X Quan, W Bi, S Shi
ICLR2024, 2024
582024
Bayes-optimal hierarchical multilabel classification
W Bi, TJ Kwok
TKDE, 2015
562015
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References
L Qiu, J Li, W Bi, D Zhao, R Yan
ACL2019, 2019
542019
A Discrete CVAE for Response Generation on Short-Text Conversation
J Gao, W Bi, X Liu, J Li, G Zhou, S Shi
EMNLP2019, 2019
532019
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