| Recent advances and challenges in task-oriented dialog systems Z Zhang, R Takanobu, Q Zhu, ML Huang, XY Zhu Science China Technological Sciences 63 (10), 2011-2027, 2020 | 258 | 2020 |
| Convlab-2: An open-source toolkit for building, evaluating, and diagnosing dialogue systems Q Zhu, Z Zhang, Y Fang, X Li, R Takanobu, J Li, B Peng, J Gao, X Zhu, ... arXiv preprint arXiv:2002.04793, 2020 | 133 | 2020 |
| Convlab: Multi-domain end-to-end dialog system platform S Lee, Q Zhu, R Takanobu, X Li, Y Zhang, Z Zhang, J Li, B Peng, X Li, ... arXiv preprint arXiv:1904.08637, 2019 | 114 | 2019 |
| Crosswoz: A large-scale chinese cross-domain task-oriented dialogue dataset Q Zhu, K Huang, Z Zhang, X Zhu, M Huang Transactions of the Association for Computational Linguistics 8, 281-295, 2020 | 110 | 2020 |
| Overview of the ninth dialog system technology challenge: Dstc9 C Gunasekara, S Kim, LF D'haro, A Rastogi, YN Chen, M Eric, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 76 | 2024 |
| Continual prompt tuning for dialog state tracking Q Zhu, B Li, F Mi, X Zhu, M Huang arXiv preprint arXiv:2203.06654, 2022 | 66 | 2022 |
| Is your goal-oriented dialog model performing really well? empirical analysis of system-wise evaluation R Takanobu, Q Zhu, J Li, B Peng, J Gao, M Huang arXiv preprint arXiv:2005.07362, 2020 | 56 | 2020 |
| Results of the multi-domain task-completion dialog challenge J Li, B Peng, S Lee, J Gao, R Takanobu, Q Zhu, M Huang, H Schulz, ... Proceedings of the 34th AAAI Conference on Artificial Intelligence, Eighth …, 2020 | 33 | 2020 |
| Data management for large language models: A survey Z Wang, W Zhong, Y Wang, Q Zhu, F Mi, B Wang, L Shang, X Jiang, Q Liu CoRR, 2023 | 27 | 2023 |
| A unified dialogue user simulator for few-shot data augmentation D Wan, Z Zhang, Q Zhu, L Liao, M Huang Findings of the Association for Computational Linguistics: EMNLP 2022, 3788-3799, 2022 | 24 | 2022 |
| Convlab-3: A flexible dialogue system toolkit based on a unified data format Q Zhu, C Geishauser, H Lin, C van Niekerk, B Peng, Z Zhang, M Heck, ... arXiv preprint arXiv:2211.17148, 2022 | 23 | 2022 |
| When does further pre-training MLM help? An empirical study on task-oriented dialog pre-training Q Zhu, Y Gu, L Luo, B Li, C Li, W Peng, M Huang, X Zhu Proceedings of the Second Workshop on Insights from Negative Results in NLP …, 2021 | 23 | 2021 |
| Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 16 | 2022 |
| Eunjoon C Gunasekara, S Kim, LF D’Haro, A Rastogi, YN Chen, M Eric, ... Cho, 0 | 14 | |
| Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios S Huang, W Zhong, J Lu, Q Zhu, J Gao, W Liu, Y Hou, X Zeng, Y Wang, ... arXiv preprint arXiv:2401.17167, 2024 | 13 | 2024 |
| Yoda: Teacher-student progressive learning for language models J Lu, W Zhong, Y Wang, Z Guo, Q Zhu, W Huang, Y Wang, F Mi, B Wang, ... arXiv preprint arXiv:2401.15670, 2024 | 8 | 2024 |
| Multi-domain task completion dialog challenge ii at dstc9 J Li, Q Zhu, L Luo, L Liden, K Huang, S Shayandeh, R Liang, B Peng, ... Proc. 35th AAAI Conf. Artif. Intell., 9th Dialog Syst. Technol. Challenge …, 2021 | 8 | 2021 |
| Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models R Wang, F Mi, Y Chen, B Xue, H Wang, Q Zhu, KF Wong, R Xu arXiv preprint arXiv:2403.02756, 2024 | 7 | 2024 |
| Multi-domain task-oriented dialog challenge ii at dstc9 J Li, Q Zhu, L Luo, L Liden, K Huang, S Shayandeh, R Liang, B Peng, ... AAAI-2021 Dialog System Technology Challenge 9 Workshop, 2021 | 6 | 2021 |
| 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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 14065 …, 2023 | 4 | 2023 |
