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Tam, Weng Lam

  1. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
    2025/08/08 by GLM-4. 5 Team, Team, : +357 · 21 voices · 133 citations
    Computer Science · #Cognitive Computing and Networks #Distributed and Parallel Computing Systems #Rough Sets and Fuzzy Logic #cs.CL
  2. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
    2024/06/18 by GLM, Team, :, Zeng, Aohan +56 · 260 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  3. P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
    2021/10/14 by Xiao Liu, Kaixuan Ji, Liu, Xiao +11 · 59 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  4. GLM-130B: An Open Bilingual Pre-trained Model
    2022/10/05 by Aohan Zeng, Xiao Liu, Zeng, Aohan +33 · 26 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  5. AlignBench: Benchmarking Chinese Alignment of Large Language Models
    2023/11/30 by Liu, Xiao, Lei, Xuanyu, Wang, Shengyuan +15 · 10 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
    2022/07/14 by Weng Lam Tam, Xiao Liu, Tam, Weng Lam +15 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling