Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. - Yutao Mou; Keqing He 001; Yanan Wu; Zhiyuan Zeng 002; Hong Xu 009; Huixing Jiang; Wei Wu 014; Weiran Xu (ACL (2), 2022)

Generalized Intent Discovery: Learning from Open World Dialogue System. - Yutao Mou; Keqing He 001; Yanan Wu; Pei Wang; Jingang Wang; Wei Wu 014; Yi Huang; Junlan Feng; Weiran Xu (COLING, 2022)

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. - Yanan Wu; Zhiyuan Zeng 002; Keqing He 001; Yutao Mou; Pei Wang; Weiran Xu (COLING, 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 (EMNLP, 2022)

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. - Yutao Mou; Keqing He 001; Pei Wang; Yanan Wu; Jingang Wang; Wei Wu 014; Weiran Xu (EMNLP, 2022)

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. - Yutao Mou; Pei Wang; Keqing He 001; Yanan Wu; Jingang Wang; Wei Wu 014; Weiran Xu (EMNLP, 2022)

Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. - Yanan Wu; Zhiyuan Zeng 002; Keqing He 001; Yutao Mou; Pei Wang; Yuanmeng Yan; Weiran Xu (CoRR, 2022)

Value type: the bridge to a better DST model. - QiXiang Gao; Mingyang Sun; Yutao Mou; Chen Zeng; Weiran Xu (ACL (Findings), 2023)

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. - Yutao Mou; Xiaoshuai Song; Keqing He 001; Chen Zeng; Pei Wang; Jingang Wang; Yunsen Xian; Weiran Xu (ACL (1), 2023)

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. - Xiaoshuai Song; Keqing He 001; Pei Wang; Guanting Dong; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP, 2023)

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. - Xiaoshuai Song; Yutao Mou; Keqing He 001; Yueyan Qiu; Jinxu Zhao; Pei Wang; Weiran Xu (EMNLP (Findings), 2023)

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. - Pei Wang; Keqing He 001; Yutao Mou; Xiaoshuai Song; Yanan Wu; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP (Findings), 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 (ICASSP Workshops, 2023)

Bridge Pre-Training and Clustering: A Unified Contrastive Learning Framework for OOD Intent Discovery. - Yutao Mou; Heyang Xu (IEEE Access, 2023)

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. - Xiaoshuai Song; Yutao Mou; Keqing He 001; Yueyan Qiu; Pei Wang; Weiran Xu (CoRR, 2023)

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. - Pei Wang; Keqing He 001; Yejie Wang; Xiaoshuai Song; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (LREC/COLING, 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 (NAACL-HLT (Findings), 2024)

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types. - Yutao Mou; Shikun Zhang; Wei Ye 004 (NeurIPS, 2024)

Knowledge Editing on Black-box Large Language Models. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (CoRR, 2024)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Yutao Mou; Mengdi Zhang 002; Jingang Wang; Xunliang Cai; Weiran Xu (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 030; Ge Zhang 009; Junran Peng; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types. - Yutao Mou; Shikun Zhang; Wei Ye (CoRR, 2024)

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 (ACL (1), 2025)

Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (WWW, 2025)

SaRO: Enhancing LLM Safety through Reasoning-based Alignment. - Yutao Mou; Yuxiao Luo; Shikun Zhang; Wei Ye (CoRR, 2025)

Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective. - Yutao Mou; Xiao Deng; Yuxiao Luo; Shikun Zhang; Wei Ye 004 (CoRR, 2025)