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Yutao Mou

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Knowledge Editing on Black-box Large Language Models

Feb 17, 2024
Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu

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

Feb 14, 2024
Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

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

Oct 20, 2023
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

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

Oct 16, 2023
Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu

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

Oct 16, 2023
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

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Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery

May 28, 2023
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu

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

Oct 19, 2022
Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

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

Oct 17, 2022
Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

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

Oct 17, 2022
Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu

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

Sep 14, 2022
Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu

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