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mwang693-rgb/README.md

Moyang Wang · Steven

Computer Science undergraduate at University of Wisconsin–Madison.

I work on language models, representation editing, activation steering, and efficient adaptation. I am interested in LLM training and post-training, multimodal foundation models, and the systems that make them practical.

Website · CV · Email

Research & projects

  • State-Aware Adaptation and Control of Language Models — independent research on parameter/state interventions, LoRA, and KV-cache reuse. Research notes
  • LLM from Scratch — CS336-based self-study implementation with dense and sparse-MoE variants, tied embeddings, and tested training components. Portfolio completion and extensions include AI assistance.
  • Computer Organization Knowledge Graph — undergraduate research design on educational-text processing, entity recognition, and domain ontologies.

Tools

Python · PyTorch · NumPy · Hugging Face Transformers · Git · Linux

Outside research, I enjoy calisthenics and gymnastics rings.

Popular repositories Loading

  1. LLM_learning LLM_learning Public

    from zero to build my own LLM

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  2. MNIST-PROJECT MNIST-PROJECT Public

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  3. p4extend p4extend Public

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  4. llm-from-scratch llm-from-scratch Public

    PyTorch decoder-only LM: byte-level BPE, dense and sparse MoE, tied embeddings, training utilities and reproducible tests.

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  5. mwang693-rgb.github.io mwang693-rgb.github.io Public

    Moyang Wang — UW–Madison CS, language models and efficient adaptation.

    HTML

  6. mwang693-rgb mwang693-rgb Public

    Moyang Wang — GitHub profile