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kwon13/README.md

Yonghoon Kwon


Hi there 👋 I’m Yonghoon Kwon, an AI engineer and researcher passionate about Small Language Models (sLMs) and self-evolving AI agents. I enjoy building scalable evaluation pipelines, reasoning systems, and open-source tools for efficient model alignment and benchmarking.

🌱 Currently exploring: Evolutionary agent frameworks

⚙️ Working with: Python, Docker, PyTorch, vLLM, TRL

📚 Recent paper: CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive Tasks (EMNLP 2025 Findings)

💬 Ask me about: LoRA training, Evolving, Reasoning

🌐 [Linkedin]

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  1. robust-spacing robust-spacing Public

    RoBERTa를 사용한 띄어쓰기 모델

    Python 5

  2. Glorang-AI/Emotion-Recognition-in-Conversation Glorang-AI/Emotion-Recognition-in-Conversation Public

    Python 1

  3. summarization-rloo summarization-rloo Public

    Python 1

  4. LLM-Evo-Merge LLM-Evo-Merge Public

    Forked from arcee-ai/mergekit

    Tools for merging pretrained large language models.

    Python 4 1

  5. selectstar-ai/CAC-CoT selectstar-ai/CAC-CoT Public

    Connector-Aware Compact CoT (Synthetic Method For Reasoning Data)

    Python 2 1