Yutao Mou

According to our database, Yutao Mou authored at least 21 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types.

Yutao Mou, Shikun Zhang, Wei Ye

CoRR, 2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

Haoran Que, Feiyu Duan, Liqun He, Yutao Mou, Wangchunshu Zhou, Jiaheng Liu, Wenge Rong, Zekun Moore Wang, Jian Yang, Ge Zhang, Junran Peng, Zhaoxiang Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

CoRR, 2024

Knowledge Editing on Black-box Large Language Models.

Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu

CoRR, 2024

UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle.

Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.

Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition.

Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu

CoRR, 2023

Bridge Pre-Training and Clustering: A Unified Contrastive Learning Framework for OOD Intent Discovery.

Yutao Mou, Heyang Xu

IEEE Access, 2023

Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People.

Mingyang Sun, QiXiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo

Proceedings of the IEEE International Conference on Acoustics, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.

Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition.

Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.

Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.

Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Value type: the bridge to a better DST model.

QiXiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning.

Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu

CoRR, 2022

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning.

Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery.

Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking.

QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation.

Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generalized Intent Discovery: Learning from Open World Dialogue System.

Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning.

Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022