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jayminban/README.md

Hi, I'm Jaymin Ban, undergraduate researcher at DaintLab, SeoulTech.

Currently focused on LLM interpretability

Find me on Google Scholar, Reddit, LinkedIn, and X.

See below for my projects.

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  1. diffusion-to-flow-MotionGPT3 diffusion-to-flow-MotionGPT3 Public

    Diffusion vs Rectified Flow for Motion Generation in MotionGPT3 (ReALM-GEN Workshop, ICLR 2026)

    Python 2

  2. RLVR-vs-SFT-Qwen2.5-1.5b RLVR-vs-SFT-Qwen2.5-1.5b Public

    Training Qwen 2.5 1.5B Instruct with SFT and RLVR (GRPO) on the GSM8K dataset, analyzing performance across GSM8K and MATH benchmarks.

    Python 12 1

  3. 41-llms-evaluated-on-19-benchmarks 41-llms-evaluated-on-19-benchmarks Public

    This project benchmarks 41 open-source large language models across 19 evaluation tasks using the lm-evaluation-harness library.

    Jupyter Notebook 99 4

  4. SeoulTech-kaggle-temperature-forecasting SeoulTech-kaggle-temperature-forecasting Public

    This repository documents my solution for the Kaggle competition hosted as part of the SeoulTech Machine Learning course.

    Jupyter Notebook