Artykuły udostępnione publicznie: - Yitong LiWięcej informacji
Niedostępny w żadnym miejscu: 1
Contextualise entities and relations: an interaction method for knowledge graph completion
K Chen, Y Wang, Y Li, A Li, X Zhao
International Conference on Artificial Neural Networks, 179-191, 2021
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 11
Robust Training under Linguistic Adversity
Y Li, T Cohn, T Baldwin
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Upoważnienia: Australian Research Council
A synthetic data generation framework for grounded dialogues
J Bao, R Wang, Y Wang, A Sun, Y Li, F Mi, R Xu
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
Upoważnienia: National Natural Science Foundation of China
Fairlib: A unified framework for assessing and improving fairness
X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Upoważnienia: Australian Research Council
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference
Y Li, T Baldwin, T Cohn
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Upoważnienia: UK Engineering and Physical Sciences Research Council
AEG: Argumentative essay generation via a dual-decoder model with content planning
J Bao, Y Wang, Y Li, F Mi, R Xu
Proceedings of the 2022 conference on empirical methods in natural language …, 2022
Upoważnienia: National Natural Science Foundation of China
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
B Sun, Y Li, F Mi, W Wang, Y Li, K Li
AAAI 2023, 2022
Upoważnienia: National Natural Science Foundation of China
Towards fewer hallucinations in knowledge-grounded dialogue generation via augmentative and contrastive knowledge-dialogue
B Sun, Y Li, F Mi, F Bie, Y Li, K Li
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
Upoważnienia: National Natural Science Foundation of China
Retrieval-free knowledge injection through multi-document traversal for dialogue models
R Wang, J Bao, F Mi, Y Chen, H Wang, Y Wang, Y Li, L Shang, KF Wong, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
Upoważnienia: National Natural Science Foundation of China
History, present and future: Enhancing dialogue generation with few-shot history-future prompt
Y Wang, Y Li, Y Wang, F Mi, P Zhou, J Liu, X Jiang, Q Liu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Upoważnienia: National Natural Science Foundation of China
KPT: Keyword-guided Pre-training for Grounded Dialog Generation
Q Zhu, F Mi, Z Zhang, Y Wang, Y Li, X Jiang, Q Liu, X Zhu, M Huang
AAAI 2023, 2022
Upoważnienia: National Natural Science Foundation of China
Towards fair dataset distillation for text classification
X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn
Proceedings of The Third Workshop on Simple and Efficient Natural Language …, 2022
Upoważnienia: Australian Research Council
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