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Bowen Tan
Bowen Tan
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Schema-guided multi-domain dialogue state tracking with graph attention neural networks
L Chen, B Lv, C Wang, S Zhu, B Tan, K Yu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7521-7528, 2020
1252020
Learning data manipulation for augmentation and weighting
Z Hu*, B Tan*, RR Salakhutdinov, TM Mitchell, EP Xing
Advances in Neural Information Processing Systems 32, 2019
1112019
Texar: A modularized, versatile, and extensible toolkit for text generation
Z Hu, H Shi, B Tan, W Wang, Z Yang, T Zhao, J He, L Qin, D Wang, X Ma, ...
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2018
722018
Progressive generation of long text with pretrained language models
B Tan, Z Yang, M AI-Shedivat, EP Xing, Z Hu
Proceedings of the 2021 Conference of the North American Chapter of the …, 2020
69*2020
Compression, transduction, and creation: A unified framework for evaluating natural language generation
M Deng*, B Tan*, Z Liu, EP Xing, Z Hu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
422021
AgentGraph: Toward universal dialogue management with structured deep reinforcement learning
L Chen, Z Chen, B Tan, S Long, M Gašić, K Yu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (9), 1378 …, 2019
412019
On the generation of medical dialogs for COVID-19
M Zhou, Z Li, B Tan, G Zeng, W Yang, X He, Z Ju, S Chakravorty, S Chen, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
38*2021
Structured dialogue policy with graph neural networks
L Chen*, B Tan*, S Long, K Yu
Proceedings of the 27th International Conference on Computational …, 2018
302018
Policy adaptation for deep reinforcement learning-based dialogue management
L Chen, C Chang, Z Chen, B Tan, M Gašić, K Yu
2018 IEEE international conference on acoustics, speech and signal …, 2018
302018
Summarizing text on any aspects: A knowledge-informed weakly-supervised approach
B Tan, L Qin, EP Xing, Z Hu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
292020
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data
H Guo, B Tan, Z Liu, E Xing, Z Hu
Findings of the Association for Computational Linguistics: EMNLP 2022, 6969-6991, 2022
27*2022
Connecting the dots between MLE and RL for sequence generation
B Tan*, Z Hu*, Z Yang, R Salakhutdinov, EP Xing
Workshop of International Conference on Learning Representations 2019 "Deep …, 2018
27*2018
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models
S Hao*, B Tan*, K Tang*, H Zhang, EP Xing, Z Hu
Findings of the 2023 Annual Meeting of the Association for Computational …, 2022
202022
Neural-Symbolic Interaction and Co-Evolving
B Tan, S Hao, E Xing, Z Hu
Compendium of Neurosymbolic Artificial Intelligence, 125-152, 2023
2023
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Articles 1–14