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Lee Jung-Mok

2 accepted papers

2026

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search

ICML 2026poster

Fine-tuning Large Language Models (LLMs) with Low-Rank Adaptation (LoRA) offers a resource-efficient way to personalize or specialize. However, LoRA is highly sensitive to hyperparameter choices, and performing an exhaustive hyperparameter search remains computationally intensive. To address these c…

Cited by 0Source ↗Scholar ↗
2025

Automated Model Discovery via Multi-modal & Multi-step Pipeline

NeurIPS 2025poster

Automated model discovery is the process of automatically searching and identifying the most appropriate model for a given dataset over a large combinatorial search space. Existing approaches, however, often face challenges in balancing the capture of fine-grained details with ensuring generalizabil…

Cited by 0Source ↗Scholar ↗