| 2026 | ACL | Thinking Twice Makes Large Language Models Safer and More Helpful. | Yutao Mou, Yuxiao Luo, Shikun Zhang, Wei Ye |
| 2026 | ACL | ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback. | Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao |
| 2025 | ACL | Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective. | Yutao Mou, Xiao Deng, Yuxiao Luo, Shikun Zhang, Wei Ye |
| 2025 | WWW | Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. | Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu |
| 2024 | COLING | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | Value type: the bridge to a better DST model. | QiXiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | 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 |
| 2022 | ACL | 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 |
| 2022 | COLING | 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 |
| 2022 | COLING | Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. | Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |