Towards universal dialogue state tracking L Ren, K Xie, L Chen, K Yu EMNLP 2018, 2018 | 156 | 2018 |
Schema-guided multi-domain dialogue state tracking with graph attention neural networks L Chen, B Lv, C Wang, S Zhu, B Tan, K Yu AAAI 2020, 2020 | 155 | 2020 |
LGESQL: line graph enhanced text-to-SQL model with mixed local and non-local relations R Cao, L Chen, Z Chen, Y Zhao, S Zhu, K Yu ACL 2021, 2021 | 139 | 2021 |
Let: Linguistic knowledge enhanced graph transformer for chinese short text matching B Lyu, L Chen, S Zhu, K Yu Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13498 …, 2021 | 66 | 2021 |
The SJTU system for dialog state tracking challenge 2 K Sun, L Chen, S Zhu, K Yu Proceedings of the 15th Annual Meeting of the Special Interest Group on …, 2014 | 66 | 2014 |
Efficient context and schema fusion networks for multi-domain dialogue state tracking S Zhu, J Li, L Chen, K Yu arXiv preprint arXiv:2004.03386, 2020 | 63 | 2020 |
WebSRC: A Dataset for Web-Based Structural Reading Comprehension X Chen, Z Zhao, L Chen, D Zhang, J Ji, A Luo, Y Xiong, K Yu arXiv preprint arXiv:2101.09465, 2021 | 61 | 2021 |
Neural graph matching networks for Chinese short text matching L Chen, Y Zhao, B Lyu, L Jin, Z Chen, S Zhu, K Yu Proceedings of the 58th annual meeting of the Association for Computational …, 2020 | 58 | 2020 |
A generalized rule based tracker for dialogue state tracking K Sun, L Chen, S Zhu, K Yu 2014 IEEE Spoken Language Technology Workshop (SLT), 330-335, 2014 | 52 | 2014 |
Agent-aware dropout dqn for safe and efficient on-line dialogue policy learning L Chen, X Zhou, C Chang, R Yang, K Yu Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 48 | 2017 |
Unsupervised dual paraphrasing for two-stage semantic parsing R Cao, S Zhu, C Yang, C Liu, R Ma, Y Zhao, L Chen, K Yu arXiv preprint arXiv:2005.13485, 2020 | 47 | 2020 |
ShadowGNN: Graph projection neural network for text-to-SQL parser Z Chen, L Chen, Y Zhao, R Cao, Z Xu, S Zhu, K Yu arXiv preprint arXiv:2104.04689, 2021 | 46 | 2021 |
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 | 46 | 2019 |
Meta-gui: Towards multi-modal conversational agents on mobile gui L Sun, X Chen, L Chen, T Dai, Z Zhu, K Yu arXiv preprint arXiv:2205.11029, 2022 | 43 | 2022 |
Semi-supervised text simplification with back-translation and asymmetric denoising autoencoders Y Zhao, L Chen, Z Chen, K Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9668-9675, 2020 | 43 | 2020 |
Scieval: A multi-level large language model evaluation benchmark for scientific research L Sun, Y Han, Z Zhao, D Ma, Z Shen, B Chen, L Chen, K Yu AAAI 2024, 2024 | 35 | 2024 |
Structured dialogue policy with graph neural networks L Chen, B Tan, S Long, K Yu Proceedings of the 27th International Conference on Computational …, 2018 | 34 | 2018 |
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 | 30 | 2018 |
Large language models are semi-parametric reinforcement learning agents D Zhang, L Chen, S Zhang, H Xu, Z Zhao, K Yu NeurIPS 2023, 2024 | 28 | 2024 |
Semantic parser enhancement for dialogue domain extension with little data S Zhu, L Chen, K Sun, D Zheng, K Yu IEEE SLT 2014, 336-341, 2014 | 28 | 2014 |