Attention-based LSTM for aspect-level sentiment classification Y Wang, M Huang, X Zhu, L Zhao Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 2806 | 2016 |
Emotional chatting machine: Emotional conversation generation with internal and external memory H Zhou, M Huang, T Zhang, X Zhu, B Liu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 953 | 2018 |
Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 944 | 2021 |
Learning to identify review spam F Li, M Huang, Y Yang, X Zhu IJCAI proceedings-international joint conference on artificial intelligence …, 2011 | 583 | 2011 |
Commonsense knowledge aware conversation generation with graph attention. H Zhou, T Young, M Huang, H Zhao, J Xu, X Zhu IJCAI 18, 4623-4629, 2018 | 571 | 2018 |
TransG: A generative mixture model for knowledge graph embedding H Xiao, M Huang, Y Hao, X Zhu arXiv preprint arXiv:1509.05488, 2015 | 532 | 2015 |
Ppt: Pre-trained prompt tuning for few-shot learning Y Gu, X Han, Z Liu, M Huang arXiv preprint arXiv:2109.04332, 2021 | 477 | 2021 |
Structure-aware review mining and summarization F Li, C Han, M Huang, X Zhu, Y Xia, S Zhang, H Yu Proceedings of the 23rd international conference on computational …, 2010 | 419 | 2010 |
Reinforcement learning for relation classification from noisy data J Feng, M Huang, L Zhao, Y Yang, X Zhu Proceedings of the aaai conference on artificial intelligence 32 (1), 2018 | 406 | 2018 |
Augmenting end-to-end dialogue systems with commonsense knowledge T Young, E Cambria, I Chaturvedi, H Zhou, S Biswas, M Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 385 | 2018 |
Challenges in building intelligent open-domain dialog systems M Huang, X Zhu, J Gao ACM Transactions on Information Systems (TOIS) 38 (3), 1-32, 2020 | 379 | 2020 |
Discovering patterns to extract protein–protein interactions from full texts M Huang, X Zhu, Y Hao, DG Payan, K Qu, M Li Bioinformatics 20 (18), 3604-3612, 2004 | 344 | 2004 |
MiniLLM: Knowledge distillation of large language models Y Gu, L Dong, F Wei, M Huang arXiv preprint arXiv:2306.08543, 2023 | 305 | 2023 |
Automatic perturbation analysis for scalable certified robustness and beyond K Xu, Z Shi, H Zhang, Y Wang, KW Chang, M Huang, B Kailkhura, X Lin, ... Advances in Neural Information Processing Systems 33, 1129-1141, 2020 | 293 | 2020 |
Sentiment analysis with global topics and local dependency F Li, M Huang, X Zhu Proceedings of the AAAI conference on artificial intelligence 24 (1), 1371-1376, 2010 | 290 | 2010 |
Linguistically regularized lstms for sentiment classification Q Qian, M Huang, J Lei, X Zhu arXiv preprint arXiv:1611.03949, 2016 | 289 | 2016 |
Chatglm: A family of large language models from glm-130b to glm-4 all tools T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Zhang, D Rojas, G Feng, ... arXiv preprint arXiv:2406.12793, 2024 | 279 | 2024 |
A hierarchical framework for relation extraction with reinforcement learning R Takanobu, T Zhang, J Liu, M Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 7072-7079, 2019 | 279 | 2019 |
Towards emotional support dialog systems S Liu, C Zheng, O Demasi, S Sabour, Y Li, Z Yu, Y Jiang, M Huang arXiv preprint arXiv:2106.01144, 2021 | 275 | 2021 |
A knowledge-enhanced pretraining model for commonsense story generation J Guan, F Huang, Z Zhao, X Zhu, M Huang Transactions of the Association for Computational Linguistics 8, 93-108, 2020 | 270 | 2020 |