| 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 34 (05), 7521-7528, 2020 | 141 | 2020 |
| Learning data manipulation for augmentation and weighting Z Hu*, B Tan*, RR Salakhutdinov, TM Mitchell, EP Xing NeurIPS 2019, 2019 | 123 | 2019 |
| Progressive generation of long text with pretrained language models B Tan, Z Yang, M AI-Shedivat, EP Xing, Z Hu NAACL 2021, 2020 | 86* | 2020 |
| 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, ... ACL 2019, Demo, 2018 | 74 | 2018 |
| Compression, transduction, and creation: A unified framework for evaluating natural language generation M Deng*, B Tan*, Z Liu, EP Xing, Z Hu EMNLP 2021, 2021 | 58 | 2021 |
| 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, ... ACL 2021, 886-896, 2021 | 46* | 2021 |
| BertNet: Harvesting Knowledge Graphs from Pretrained Language Models S Hao*, B Tan*, K Tang*, H Zhang, EP Xing, Z Hu ACL 2023, Findings, 2022 | 45* | 2022 |
| AgentGraph: Toward universal dialogue management with structured deep reinforcement learning L Chen, Z Chen, B Tan, S Long, M Gašić, K Yu IEEE/ACM TASLP 2019 27 (9), 1378-1391, 2019 | 44 | 2019 |
| Efficient (Soft) Q-Learning for Text Generation with Limited Good Data H Guo, B Tan, Z Liu, E Xing, Z Hu EMNLP 2022, Findings, 6969-6991, 2022 | 41* | 2022 |
| Summarizing text on any aspects: A knowledge-informed weakly-supervised approach B Tan, L Qin, EP Xing, Z Hu EMNLP 2020, 2020 | 34 | 2020 |
| Structured Dialogue Policy with Graph Neural Networks L Chen*, B Tan*, S Long, K Yu COLING 2018, 0 | 32* | |
| Policy adaptation for deep reinforcement learning-based dialogue management L Chen, C Chang, Z Chen, B Tan, M Gašić, K Yu ICASSP 2018, 6074-6078, 2018 | 30 | 2018 |
| Connecting the dots between MLE and RL for sequence generation B Tan*, Z Hu*, Z Yang, R Salakhutdinov, EP Xing "Deep Reinforcement Learning Meets Structured Prediction" Workshop @ ICLR 2019, 2018 | 27* | 2018 |
| LLM360: Towards Fully Transparent Open-Source LLMs Z Liu, A Qiao, W Neiswanger, H Wang, B Tan, T Tao, J Li, Y Wang, S Sun, ... arXiv preprint arXiv:2312.06550, 2023 | 14 | 2023 |
| Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer B Tan, Y Zhu, L Liu, E Xing, Z Hu, J Chen NeurIPS 2023, 2023 | 2 | 2023 |
| RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs B Tan, Y Zhu, L Liu, H Wang, Y Zhuang, J Chen, E Xing, Z Hu NAACL 2024, Demo, 2023 | | 2023 |
| Neural-Symbolic Interaction and Co-Evolving B Tan, S Hao, E Xing, Z Hu Compendium of Neurosymbolic Artificial Intelligence 369, 125, 2023 | | 2023 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
