← Search

Cho Jung Min

2 accepted papers

2025

Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation

CVPR 2025poster

Scaling architectures have been proven effective for improving Scene Text Recognition (STR), but the individual contribution of vision encoder and text decoder scaling remain under-explored. In this work, we present an in-depth empirical analysis and demonstrate that, contrary to previous observatio…

Cited by 0SourcePDFScholar
2024

A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune

EMNLP 2024finding

The growing size of large language models (LLMs) requires parameter-efficient fine-tuning (PEFT) methods for their adaptation to new tasks. Existing methods, such as Low-Rank Adaptation (LoRA), typically involve model adaptation by training the PEFT parameters. One open problem required to be solved…

Cited by 1SourcePDFScholar