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Wu, Yuexin

  1. Large Language Models Can Self-Improve
    2022/10/20 by Jiaxin Huang, Shixiang Gu, Shixiang Shane Gu +12 · 3 voices · 81 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #cs.CL
  2. StoryGAN: A Sequential Conditional GAN for Story Visualization
    2018/12/06 by Yitong Li, Li, Yitong, Zhe Gan +15 · 13 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Video Analysis and Summarization
  3. Analogical Inference for Multi-Relational Embeddings
    2017/05/06 by Hanxiao Liu, Liu, Hanxiao, Yuexin Wu +3 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  4. Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
    2023/04/11 by Tao Lei, Junwen Bai, Lei, Tao +21 · 8 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Speech Recognition and Synthesis #Multimodal Machine Learning Applications
  5. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
    2023/05/24 by Shen, Sheng, Hou, Le, Zhou, Yanqi +17 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  6. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
    2024/02/05 by Zihan Wang, Yunxuan Li, Wang, Zihan +11 · 6 citations
    Business, Management and Accounting · Engineering · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #Collaboration in agile enterprises #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotic Process Automation Applications
  7. Token Dropping for Efficient BERT Pretraining
    2022/03/24 by Hou, Le, Pang, Richard Yuanzhe, Zhou, Tianyi +4 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
    2022/02/24 by Yuan, Zhuoning, Wu, Yuexin, Qiu, Zi-Hao +4 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  9. Graph-Revised Convolutional Network
    2019/11/17 by Yu, Donghan, Zhang, Ruohong, Jiang, Zhengbao +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Token Imbalance Adaptation for Radiology Report Generation
    2023/04/18 by Wu, Yuexin, Huang, I-Chan, Huang, Xiaolei · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. Enabling Language Models to Implicitly Learn Self-Improvement
    2023/10/02 by Ziqi Wang, Wang, Ziqi, Le Hou +11 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  12. Distilling Text Style Transfer With Self-Explanation From LLMs
    2024/03/02 by Zhang, Chiyu, Cai, Honglong, Yuezhang +4 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
    2018/11/19 by Wu, Yuexin, Li, Xiujun, Liu, Jingjing +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)