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2U1/README.md

πŸ”Ž Introduction

  • Master's degree in Artificial Intelligence from Korea University
  • I'm a ML Engineer interested in Multi-modal LLMs

πŸ“š Publications

  • "Enhancing Discriminative Ability among Similar Classes with Guidance of Text-Image Correlation for Unsupervised Domain Adaptation," International Joint Conference on Neural Networks (IJCNN), 2023 (Oral).

    Y. Lee, M. Oh, H. Kim and S. Lee

  • "LC-MSM: Language-Conditioned Masked Segmentation Model for unsupervised domain adaptation," Pattern Recognition, 2023.

    Y. Kim, Y. Lee and S. Lee,

  • "Text-Guiding with Cross-Attention for Unsupervised Domain Adaptive Semantic Segmentation," Korea Software Congress (KSC), 2023 (Best Paper).

    Y. Lee, G. Eun, S. Lee, S. Jin and J. Lee

🏒 Work Experience

  • Emissary (2025.11 ~ Current)
  • LaonRoad (2024.01 ~ 2025.10)

πŸ’» Tech Stacks


πŸ“Š Stats

GitHub stats

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  1. Qwen-VL-Series-Finetune Qwen-VL-Series-Finetune Public

    An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.

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    An open-source implementaion for fine-tuning Phi3-Vision and Phi3.5-Vision by Microsoft.

    Python 98 21

  3. Llama3.2-Vision-Finetune Llama3.2-Vision-Finetune Public

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    Python 176 26

  4. SmolVLM-Finetune SmolVLM-Finetune Public

    An open-source implementaion for fine-tuning SmolVLM.

    Python 65 7

  5. Gemma3-Finetune Gemma3-Finetune Public

    An open-source implementaion for Gemma3 series by Google.

    Python 74 14

  6. Molmo-Finetune Molmo-Finetune Public

    An open-source implementaion for fine-tuning Molmo-7B-D and Molmo-7B-O by allenai.

    Python 61 6