Data augmentation approaches in natural language processing: A survey von Li, Bohan, Hou, Yutai, Che, Wanxiang

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From static to dynamic word representations: a survey von Wang, Yuxuan, Hou, Yutai, Che, Wanxiang, Liu, Ting

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Adaptive Correlation Integration for Deep Image Clustering von Wu, Yushan, Wu, Rui, Hou, Yutai, Liu, Jiafeng, Tang, Xianglong

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Discovering drug-target interaction knowledge from biomedical literature von Hou, Yutai, Xia, Yingce, Wu, Lijun, Xie, Shufang, Fan, Yang, Zhu, Jinhua, Qin, Tao, Liu, Tie-Yan

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FewJoint: few-shot learning for joint dialogue understanding von Hou, Yutai, Wang, Xinghao, Chen, Cheng, Li, Bohan, Che, Wanxiang, Chen, Zhigang

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A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue von Hou, Yutai, Fang, Meng, Che, Wanxiang, Liu, Ting

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Similarity Search Combining Query Relaxation and Diversification von Shi, Ruoxi, Wang, Hongzhi, Wang, Tao, Hou, Yutai, Tang, Yiwen, Li, Jianzhong, Gao, Hong

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Language Anisotropic Cross-Lingual Model Editing von Xu, Yang, Hou, Yutai, Che, Wanxiang, Zhang, Min

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MetaPrompting: Learning to Learn Better Prompts von Hou, Yutai, Dong, Hongyuan, Wang, Xinghao, Li, Bohan, Che, Wanxiang

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Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities von Mu, Honglin, Xu, Yang, Feng, Yunlong, Han, Xiaofeng, Li, Yitong, Hou, Yutai, Che, Wanxiang

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Data Augmentation Approaches in Natural Language Processing: A Survey von Bohan, Li, Hou, Yutai, Che, Wanxiang

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Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging von Hou, Yutai, Chen, Cheng, Luo, Xianzhen, Li, Bohan, Che, Wanxiang

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MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning von Li, Bohan, Dou, Longxu, Hou, Yutai, Feng, Yunlong, Mu, Honglin, Zhu, Qingfu, Sun, Qinghua, Che, Wanxiang

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Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling von Hou, Yutai, Lai, Yongkui, Chen, Cheng, Che, Wanxiang, Liu, Ting

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Concise and Precise Context Compression for Tool-Using Language Models von Xu, Yang, Feng, Yunlong, Mu, Honglin, Hou, Yutai, Li, Yitong, Wang, Xinghao, Zhong, Wanjun, Li, Zhongyang, Tu, Dandan, Zhu, Qingfu, Zhang, Min, Che, Wanxiang

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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling von Hou, Yutai, Chen, Sanyuan, Che, Wanxiang, Chen, Cheng, Liu, Ting

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Few-shot Learning for Multi-label Intent Detection von Hou, Yutai, Lai, Yongkui, Wu, Yushan, Che, Wanxiang, Liu, Ting

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Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios von Huang, Shijue, Zhong, Wanjun, Lu, Jianqiao, Zhu, Qi, Gao, Jiahui, Liu, Weiwen, Hou, Yutai, Zeng, Xingshan, Wang, Yasheng, Shang, Lifeng, Jiang, Xin, Xu, Ruifeng, Liu, Qun

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Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification von Li, Bohan, Xu, Xiao, Wang, Xinghao, Hou, Yutai, Feng, Yunlong, Wang, Feng, Zhang, Xuanliang, Zhu, Qingfu, Che, Wanxiang

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CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning von Liu, Yilun, Tao, Shimin, Zhao, Xiaofeng, Zhu, Ming, Ma, Wenbing, Zhu, Junhao, Su, Chang, Hou, Yutai, Zhang, Miao, Zhang, Min, Ma, Hongxia, Zhang, Li, Yang, Hao, Jiang, Yanfei

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