| A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding L Qin, W Che, Y Li, H Wen, T Liu EMNLP 2019, 2019 | 337 | 2019 |
| N-LTP: An Open-source Neural Language Technology Platform for Chinese W Che, Y Feng, L Qin, T Liu EMNLP 2021 Demo, 2021 | 169* | 2021 |
| CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP L Qin, M Ni, Y Zhang, W Che IJCAI 2020, 2020 | 166 | 2020 |
| A Co-Interactive Transformer for Joint Slot Filling and Intent Detection L Qin, T Liu, W Che, B Kang, S Zhao, T Liu ICASSP 2021, 2021 | 152 | 2021 |
| AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling L Qin, X Xu, W Che, T Liu EMNLP Findings 2020, 2020 | 143 | 2020 |
| LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model H Fei, S Wu, J Li, B Li, F Li, L Qin, M Zhang, M Zhang, TS Chua NeurIPS 2022, 2022 | 129 | 2022 |
| A Survey on Spoken Language Understanding: Recent Advances and New Frontiers L Qin, T Xie, W Che, T Liu IJCAI2021 (Survey Track), 2021 | 106 | 2021 |
| DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. L Qin, W Che, Y Li, M Ni, T Liu AAAI 2020, 2020 | 103 | 2020 |
| Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization X Feng, X Feng, L Qin, B Qin, T Liu ACL2021, 2021 | 93 | 2021 |
| GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling L Qin, F Wei, T Xie, X Xu, W Che, T Liu ACL2021, 2021 | 92 | 2021 |
| Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog L Qin, X Xu, W Che, Y Zhang, T Liu ACL 2020, 2020 | 89 | 2020 |
| Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification L Qin, Z Li, W Che, M Ni, T Liu AAAI2021 35 (15), 13709-13717, 2021 | 83 | 2021 |
| GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective L Yang, S Zhang, L Qin, Y Li, Y Wang, H Liu, J Wang, X Xie, Y Zhang ACL 2023 Findings, 2022 | 78 | 2022 |
| Nl-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 77 | 2021 |
| Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever L Qin, Y Liu, W Che, H Wen, Y Li, T Liu EMNLP 2019, 2019 | 69 | 2019 |
| FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark HH Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Huilin Xu, Hu Yuan ... arXiv preprint arXiv:2107.07498, 2021 | 58 | 2021 |
| Multilingual large language model: A survey of resources, taxonomy and frontiers L Qin, Q Chen, Y Zhou, Z Chen, Y Li, L Liao, M Li, W Che, PS Yu arXiv preprint arXiv:2404.04925, 2024 | 54 | 2024 |
| Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation H Wen, Y Liu, W Che, L Qin, T Liu COLING 2018, 2018 | 52 | 2018 |
| A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding W Pan, Q Chen, X Xu, W Che, L Qin arXiv preprint arXiv:2304.04256, 2023 | 45 | 2023 |
| Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages L Qin, Q Chen, F Wei, S Huang, W Che EMNLP 2023, 2023 | 40 | 2023 |
