Deep Unknown Intent Detection with Margin Loss TE Lin, H Xu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 157 | 2019 |
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition G Hu, TE Lin, Y Zhao, G Lu, Y Wu, Y Li Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 130 | 2022 |
Discovering new intents with deep aligned clustering H Zhang, H Xu, TE Lin, R Lyu Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14365 …, 2021 | 116 | 2021 |
Deep open intent classification with adaptive decision boundary H Zhang, H Xu, TE Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14374 …, 2021 | 114 | 2021 |
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement TE Lin, H Xu, H Zhang The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 112 | 2020 |
A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier TE Lin, H Xu Knowledge-Based Systems 186, 104979, 2019 | 44 | 2019 |
Automated machine learning for Internet of Things CM Chung, CC Chen, WP Shih, TE Lin, RJ Yeh, I Wang 2017 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW …, 2017 | 29 | 2017 |
Spokenwoz: A large-scale speech-text benchmark for spoken task-oriented dialogue agents S Si, W Ma, H Gao, Y Wu, TE Lin, Y Dai, H Li, R Yan, F Huang, Y Li Advances in Neural Information Processing Systems 36, 2024 | 25* | 2024 |
A survey on self-evolution of large language models Z Tao, TE Lin, X Chen, H Li, Y Wu, Y Li, Z Jin, F Huang, D Tao, J Zhou arXiv preprint arXiv:2404.14387, 2024 | 22 | 2024 |
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems TE Lin, Y Wu, F Huang, L Si, J Sun, Y Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 21 | 2022 |
Unsupervised dialogue topic segmentation with topic-aware contrastive learning H Gao, R Wang, TE Lin, Y Wu, M Yang, F Huang, Y Li Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 17* | 2023 |
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment T Yu, H Gao, TE Lin, M Yang, Y Wu, W Ma, C Wang, F Huang, Y Li Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 17* | 2023 |
Empathetic response generation via emotion cause transition graph Y Qian, B Wang, TE Lin, Y Zheng, Y Zhu, D Zhao, Y Hou, Y Wu, Y Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 17 | 2023 |
Fortify the shortest stave in attention: Enhancing context awareness of large language models for effective tool use Y Chen, A Lv, TE Lin, C Chen, Y Wu, F Huang, Y Li, R Yan arXiv preprint arXiv:2312.04455, 2023 | 10 | 2023 |
Unisa: Unified generative framework for sentiment analysis Z Li, TE Lin, Y Wu, M Liu, F Tang, M Zhao, Y Li Proceedings of the 31st ACM International Conference on Multimedia, 6132-6142, 2023 | 10 | 2023 |
Multi-View Active Fine-Grained Visual Recognition R Du, W Yu, H Wang, TE Lin, D Chang, Z Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8* | 2023 |
Deem: Diffusion models serve as the eyes of large language models for image perception R Luo, Y Li, L Chen, W He, TE Lin, Z Liu, L Zhang, Z Song, X Xia, T Liu, ... arXiv preprint arXiv:2405.15232, 2024 | 7 | 2024 |
Masked thought: Simply masking partial reasoning steps can improve mathematical reasoning learning of language models C Chen, X Wang, TE Lin, A Lv, Y Wu, X Gao, JR Wen, R Yan, Y Li arXiv preprint arXiv:2403.02178, 2024 | 7 | 2024 |
Constructive large language models alignment with diverse feedback T Yu, TE Lin, Y Wu, M Yang, F Huang, Y Li arXiv preprint arXiv:2310.06450, 2023 | 6 | 2023 |
Improving factual consistency of text summarization by adversarially decoupling comprehension and embellishment abilities of llms H Feng, Y Fan, X Liu, TE Lin, Z Yao, Y Wu, F Huang, Y Li, Q Ma arXiv preprint arXiv:2310.19347, 2023 | 5 | 2023 |