Minkyoung Song
Hi! I’m a second-year M.S. student in Artificial Intelligence at POSTECH, advised by Prof. Namhoon Lee.
My recent work quantifies uncertainty for explainable AI (XAI), and I’m currently working on model compression — pruning, quantization, and joint compression-optimization methods.
I hope to make ML and DL effortlessly accessible in everyone’s daily life.
Feel free to reach out to me via minkyoung@postech.ac.kr anytime!😊
news
| Jun 25, 2026 | 🏆 Our paper has been selected for an Oral Presentation and received the Outstanding Paper Award at the KCC 2026 XAI Workshop! 🥳 🏆 |
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| May 18, 2026 | 🎤 Our ACL 2026 paper has been selected as an Oral Presentation!🤩 🎤 |
| Apr 06, 2026 | 🎉 One paper has been accepted to ACL 2026 🇺🇸: “Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence”🥳 🎉 |
| Oct 20, 2025 | 🎖️ Selected as a recipient of the POSTECHian Fellowship - Diligence!🥳 🎖️ |
publications
latest posts
| Jun 11, 2026 | Inference speed isn't just a model-size problem |
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| Apr 30, 2026 | Why joint compression beats doing it in sequence |
| Mar 21, 2026 | Quantization: fewer bits per weight, without losing the model |