Yutao Mou - RankMe

37 papers A* 6B 2Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback. CoRR Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao
2025	A*	`conf`	Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. WWW Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2025	J	`jnl`	AutoRed: A Free-form Adversarial Prompt Generation Framework for Automated Red Teaming. CoRR Muxi Diao, Yutao Mou, Keqing He, Hanbo Song, Lulu Zhao, Shikun Zhang, Wei Ye, Kongming Liang, Zhanyu Ma
2025	—	`conf`	Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective. ACL (1) Yutao Mou, Xiao Deng, Yuxiao Luo, Shikun Zhang, Wei Ye
2025	J	`jnl`	Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective. CoRR Yutao Mou, Xiao Deng, Yuxiao Luo, Shikun Zhang, Wei Ye
2025	J	`jnl`	Decoupling Safety into Orthogonal Subspace: Cost-Efficient and Performance-Preserving Alignment for Large Language Models. CoRR Yutao Mou, Xiaoling Zhou, Yuxiao Luo, Shikun Zhang, Wei Ye
2025	J	`jnl`	SaRO: Enhancing LLM Safety through Reasoning-based Alignment. CoRR Yutao Mou, Yuxiao Luo, Shikun Zhang, Wei Ye
2024	—	`conf`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu
2024	J	`jnl`	HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models. CoRR 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
2024	J	`jnl`	Knowledge Editing on Black-box Large Language Models. CoRR Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2024	A*	`conf`	SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types. NeurIPS Yutao Mou, Shikun Zhang, Wei Ye
2024	J	`jnl`	SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types. CoRR Yutao Mou, Shikun Zhang, Wei Ye
2024	—	`conf`	UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. NAACL-HLT (Findings) Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu
2023	—	`conf`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Bridge Pre-Training and Clustering: A Unified Contrastive Learning Framework for OOD Intent Discovery. IEEE Access Yutao Mou, Heyang Xu
2023	—	`conf`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu
2023	J	`jnl`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu
2023	—	`conf`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	—	`conf`	Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People. ICASSP Workshops Mingyang Sun, Qixiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo
2023	A*	`conf`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	—	`conf`	Value type: the bridge to a better DST model. ACL (Findings) Qixiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu
2022	—	`conf`	Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu
2022	J	`jnl`	Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu
2022	B	`conf`	Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
2022	J	`jnl`	Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
2022	A*	`conf`	Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. EMNLP Qixiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu
2022	B	`conf`	Generalized Intent Discovery: Learning from Open World Dialogue System. COLING Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022	J	`jnl`	Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022	A*	`conf`	UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	A*	`conf`	Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu