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Twist-Shan/README.md

Hi! I'm Liang (Twist) Shan, an undergraduate in the School of Mathematical Sciences at Peking University.

My research interests span the statistical foundations, optimization, and mechanistic interpretability of Modern Machine Learning, with a focus on deep learning, reinforcement learning, and generative models including language models and diffusion models. I'm seeking PhD opportunities in Statistics, Computer Science, and Operations Research beginning in Fall 2028.

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  1. Lecture_Note_Statistical_Thinking_2025Spring_PKUSMS Lecture_Note_Statistical_Thinking_2025Spring_PKUSMS Public

    Here are the lecture notes and homeworks of Statistical Thinking in PKU SMS in 2025 Spring, taught by Wei Lin.

  2. CoT_NIAH_Counting CoT_NIAH_Counting Public

    Code for Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting, including both controlled synthetic Transformers and open-weight models experiments.

    Python

  3. Beyond_Scalar_Leaderboards Beyond_Scalar_Leaderboards Public

    Code for Beyond Scalar Leaderboards: Adaptive Sampling for Pareto Frontier Identification in Multi-Objective LLM Arenas, including both synthetic experiments and realistic Arena replay.

    Python