vix.ing · top · new · best · stats · spec

Zhuoyan Xu

  1. Why Larger Language Models Do In-context Learning Differently?
    2024/05/30 by Zhenmei Shi, Shi, Zhenmei, Junyi Wei +5 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  2. Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability
    2024/07/22 by Zhuoyan Xu, Xu, Zhuoyan, Zhenmei Shi +3 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  3. Out-of-distribution generalization via composition: a lens through induction heads in Transformers
    2024/08/18 by Jiajun Song, Song, Jiajun, Zhuoyan Xu +3 · 5 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Plasma Diagnostics and Applications
  4. Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
    2024/02/22 by Zhuoyan Xu, Xu, Zhuoyan, Zhenmei Shi +9 · 4 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Dam Engineering and Safety #FOS: Computer and information sciences #Geotechnical Engineering and Analysis #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG)
  5. Out-of-distribution generalization via composition: A lens through induction heads in Transformers
    2025/02/07 by Jiajun Song, Zhuoyan Xu, Yiqiao Zhong · 1 voice · 4 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
  6. Look Less, Think Faster: Joint Token-Compute Adaptation for Multimodal LLMs
    2026/07/22 by Pengcheng Wang, Zhiquan Wang, Jayoung Lee +5
    #cs.CV