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Author

Yutao Mou

Observed name: Mou, Yutao
ORCID: 0000-0003-4109-1984
Observed ORCID: 0000-0003-4109-1984
OpenAlex ID: A5018559514
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
2022 · Yutao Mou, Keqing He, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 14
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SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
2024 · Yutao Mou, Shikun Zhang, et al. · neural information processing systems · 13
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Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
2022 · Yutao Mou, Keqing He, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 11
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Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
2024 · Pei Wang, Keqing He, et al. · Language Resources and Evaluation Conference (LREC) · 9
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Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
2022 · Gao Qixiang, Guanting Dong, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 9
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Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
2023 · Yutao Mou, Xiaoshuai Song, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 7
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Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
2022 · Wu, Yanan, Zeng, Zhiyuan, et al. · arXiv (Cornell University) · 7
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Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
2023 · Xiaoshuai Song, Keqing He, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 6
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Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
2022 · Yanan Wu, Zhiyuan Zeng, et al. · 6
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Speech Emotion Detection Using Sliding Window Feature Extraction and ANN
2020 · Xubo Liu, Yutao Mou, et al. · IEEE International Conference on Signal and Image Processing (ICSIP) · 6
Generalized Intent Discovery: Learning from Open World Dialogue System
2022 · Mou, Yutao, He, Keqing, et al. · arXiv (Cornell University) · 5
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ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback
2026 · Yutao Mou, Zhangchi Xue, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 4
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Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
2023 · Xiaoshuai Song, Yutao Mou, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 4
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APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
2023 · Pei Wang, Keqing He, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 4
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UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
2022 · Yutao Mou, Pei Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
2024 · Que, Haoran, Duan, Feiyu, et al. · arXiv (Cornell University) · 3
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Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People
2023 · Mingyang Sun, Qixiang Gao, et al. · IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) · 3
Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective
2025 · Yutao Mou, Xiao Deng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Bridge Pre-Training and Clustering: A Unified Contrastive Learning Framework for OOD Intent Discovery
2023 · Yutao Mou, Heyang Xu · IEEE Access · 2
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Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing
2025 · Xiaoshuai Song, Zhengyang Wang, et al. · International World Wide Web Conference (WWW) · 1
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SaRO: Enhancing LLM Safety through Reasoning-based Alignment
2025 · Mou, Yutao, Luo, Yuxiao, et al. · arXiv (Cornell University) · 1
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FLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model
2026 · Xu, Jingxuan, Wu, Gang, et al. · arXiv (Cornell University)
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Pandora’s Toolbox: A Survey of Generalist Agent Security from the Lifecycle Perspective
2026 · Yutao Mou, Dingyao Yu, et al. · Preprints.org
ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents
2026 · Mou, Yutao, Yang, Pengfei, et al. · arXiv (Cornell University)
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Mitigating Rubric Interference in LLM Judges via On-Policy Self-Distillation
2026 · Yu, Dingyao, Zhang, Tong, et al. · arXiv (Cornell University)
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Works count: 43
Citation count: 121
H-index: 7
I10-index: 3
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