77 citations · 102 across the 5 of their papers we have counts for
5 papers
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Dongjun Lee, Seokwon Song, Jihee Suh +3
In recent years, prompt tuning has proven effective in adapting pre-trained vision-language models to downstream tasks. These methods aim to adapt the pre-trained models by introdu…
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho +2
The recent advances of deep learning have dramatically changed how machine learning, especially in the domain of natural language processing, can be applied to legal domain. Howeve…
Large-Dimensional Multibody Dynamics Simulation Using Contact Nodalization and Diagonalization
Jeongmin Lee, Minji Lee, Dongjun Lee
We propose a novel multibody dynamics simulation framework that can efficiently deal with large-dimensionality and complementarity multi-contact conditions. Typical contact simulat…
KLUE: Korean Language Understanding Evaluation
Sungjoon Park, Jihyung Moon, Sungdong Kim +28
We introduce Korean Language Understanding Evaluation (KLUE) benchmark. KLUE is a collection of 8 Korean natural language understanding (NLU) tasks, including Topic Classification,…
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Jinwoong Kim, Minkyu Kim, Heungseok Park +6
Many hyperparameter optimization (HyperOpt) methods assume restricted computing resources and mainly focus on enhancing performance. Here we propose a novel cloud-based HyperOpt (C…