Hou Yutai

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2342--2353, 2024.

Mu, Honglin and Xu, Yang and Feng, Yunlong and Han, Xiaofeng and Li, Yitong and Hou, Yutai and Che, Wanxiang

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2342--2353, 2024.

Mu, Honglin and Xu, Yang and Feng, Yunlong and Han, Xiaofeng and Li, Yitong and Hou, Yutai and Che, Wanxiang

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Proceedings of the AAAI Conference on Artificial Intelligence, 3018--3027, 2024.

Li, Bohan and Xu, Xiao and Wang, Xinghao and Hou, Yutai and Feng, Yunlong and Wang, Feng and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Proceedings of the AAAI Conference on Artificial Intelligence, 3018--3027, 2024.

Li, Bohan and Xu, Xiao and Wang, Xinghao and Hou, Yutai and Feng, Yunlong and Wang, Feng and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang

Data augmentation approaches in natural language processing: A survey

AI Open, 2022.

Li, Bohan and Hou, Yutai and Che, Wanxiang

Data augmentation approaches in natural language processing: A survey

AI Open, 2022.

Li, Bohan and Hou, Yutai and Che, Wanxiang

FewJoint: few-shot learning for joint dialogue understanding

International Journal of Machine Learning and Cybernetics, 1--15, 2022.

Hou, Yutai and Wang, Xinghao and Chen, Cheng and Li, Bohan and Che, Wanxiang and Chen, Zhigang

FewJoint: few-shot learning for joint dialogue understanding

International Journal of Machine Learning and Cybernetics, 1--15, 2022.

Hou, Yutai and Wang, Xinghao and Chen, Cheng and Li, Bohan and Che, Wanxiang and Chen, Zhigang

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Findings of the Association for Computational Linguistics: ACL 2022, 637--647

Hou, Yutai and Chen, Cheng and Luo, Xianzhen and Li, Bohan and Che, Wanxiang

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Findings of the Association for Computational Linguistics: ACL 2022, 637--647

Hou, Yutai and Chen, Cheng and Luo, Xianzhen and Li, Bohan and Che, Wanxiang

MetaPrompting: Learning to Learn Better Prompts

Proceedings of the 29th International Conference on Computational Linguistics, 3251--3262, 2022.

Hou, Yutai and Dong, Hongyuan and Wang, Xinghao and Li, Bohan and Che, Wanxiang

MetaPrompting: Learning to Learn Better Prompts

Proceedings of the 29th International Conference on Computational Linguistics, 3251--3262, 2022.

Hou, Yutai and Dong, Hongyuan and Wang, Xinghao and Li, Bohan and Che, Wanxiang

C2c-genda: Cluster-to-cluster generation for data augmentation of slot filling

Proceedings of the AAAI Conference on Artificial Intelligence, 13027--13035, 2021.

Hou, Yutai and Chen, Sanyuan and Che, Wanxiang and Chen, Cheng and Liu, Ting

C2c-genda: Cluster-to-cluster generation for data augmentation of slot filling

Proceedings of the AAAI Conference on Artificial Intelligence, 13027--13035, 2021.

Hou, Yutai and Chen, Sanyuan and Che, Wanxiang and Chen, Cheng and Liu, Ting

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

ArXiv preprint, abs/2109.13187, 2021.

Hou, Yutai and Xia, Yingce and Wu, Lijun and Xie, Shufang and Fan, Yang and Zhu, Jinhua and Che, Wanxiang and Qin, Tao and Liu, Tie-Yan

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

ArXiv preprint, abs/2109.13187, 2021.

Hou, Yutai and Xia, Yingce and Wu, Lijun and Xie, Shufang and Fan, Yang and Zhu, Jinhua and Che, Wanxiang and Qin, Tao and Liu, Tie-Yan

Few-shot learning for multi-label intent detection

Proceedings of the AAAI Conference on Artificial Intelligence, 13036--13044, 2021.

Hou, Yutai and Lai, Yongkui and Wu, Yushan and Che, Wanxiang and Liu, Ting

Few-shot learning for multi-label intent detection

Proceedings of the AAAI Conference on Artificial Intelligence, 13036--13044, 2021.

Hou, Yutai and Lai, Yongkui and Wu, Yushan and Che, Wanxiang and Liu, Ting

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 3190--3200, 2021.

Hou, Yutai and Lai, Yongkui and Chen, Cheng and Che, Wanxiang and Liu, Ting

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 3190--3200, 2021.

Hou, Yutai and Lai, Yongkui and Chen, Cheng and Che, Wanxiang and Liu, Ting

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 1381--1393, 2020.

Hou, Yutai and Che, Wanxiang and Lai, Yongkui and Zhou, Zhihan and Liu, Yijia and Liu, Han and Liu, Ting

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 1381--1393, 2020.

Hou, Yutai and Che, Wanxiang and Lai, Yongkui and Zhou, Zhihan and Liu, Yijia and Liu, Han and Liu, Ting

Fewjoint: a few-shot learning benchmark for joint language understanding

ArXiv preprint, abs/2009.08138, 2020.

Hou, Yutai and Mao, Jiafeng and Lai, Yongkui and Chen, Cheng and Che, Wanxiang and Chen, Zhigang and Liu, Ting

Fewjoint: a few-shot learning benchmark for joint language understanding

ArXiv preprint, abs/2009.08138, 2020.

Hou, Yutai and Mao, Jiafeng and Lai, Yongkui and Chen, Cheng and Che, Wanxiang and Chen, Zhigang and Liu, Ting

From static to dynamic word representations: a survey

International Journal of Machine Learning and Cybernetics, 1611--1630, 2020.

Wang, Yuxuan and Hou, Yutai and Che, Wanxiang and Liu, Ting

From static to dynamic word representations: a survey

International Journal of Machine Learning and Cybernetics, 1611--1630, 2020.

Wang, Yuxuan and Hou, Yutai and Che, Wanxiang and Liu, Ting

Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 7870--7881, 2020.

Chen, Sanyuan and Hou, Yutai and Cui, Yiming and Che, Wanxiang and Liu, Ting and Yu, Xiangzhan

Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 7870--7881, 2020.

Chen, Sanyuan and Hou, Yutai and Cui, Yiming and Che, Wanxiang and Liu, Ting and Yu, Xiangzhan

A corpus-free state2seq user simulator for task-oriented dialogue

ArXiv preprint, abs/1909.04448, 2019.

Hou, Yutai and Fang, Meng and Che, Wanxiang and Liu, Ting

A corpus-free state2seq user simulator for task-oriented dialogue

ArXiv preprint, abs/1909.04448, 2019.

Hou, Yutai and Fang, Meng and Che, Wanxiang and Liu, Ting

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

Proceedings of the 27th International Conference on Computational Linguistics, 1234--1245, 2018.

Hou, Yutai and Liu, Yijia and Che, Wanxiang and Liu, Ting

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

Proceedings of the 27th International Conference on Computational Linguistics, 1234--1245, 2018.

Hou, Yutai and Liu, Yijia and Che, Wanxiang and Liu, Ting