← Search

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 0SourceScholar
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 0SourceScholar