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junkim100/README.md

Hi, I'm Dongjun Kim

I am an AI Research Engineer at Upstage, where I work on making large language models measurable, transparent, and trustworthy.

Previously, I completed my Master's at Korea University's NLP&AI Lab.

Get in touch

If you're working on evaluation, interpretability, or AI safety, I'm happy to connect.

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  1. LangSAE-Editing LangSAE-Editing Public

    Code for arXiv paper - LangSAE Editing: Improving Multilingual Information Retrieval via Post-hoc Language Identity Removal

    Python

  2. Benchmark-Profiling Benchmark-Profiling Public

    Code for EMNLP 2025 paper - Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks

    Python 5 1

  3. Coding-Spot Coding-Spot Public

    Code for arXiv paper - Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance

    Python

  4. JunGrad JunGrad Public

    A robust N-D autograd library with comprehensive operations, neural network layers, and optimizers.

    Jupyter Notebook

  5. evalchemy evalchemy Public

    Forked from mlfoundations/evalchemy

    Automatic evals for LLMs

    HTML 3 1

  6. JunRAG JunRAG Public

    A modular RAG library designed for multi-hop questions with support for query decomposition, parallel processing, Qdrant integration, vLLM-powered inference, and dynamic GPU assignment.

    Python