1 citations · 2 across the 8 of their papers we have counts for
8 papers
ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation
JooYoung Jang, Taegyeong Lee, Jihyeon Park +1
Commercial design platforms increasingly edit documents through large language model (LLM) agents, but two practical problems block reliable deployment: legacy document formats exp…
DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval
Taegyeong Lee, Jiwon Park, Seunghyun Hwang +1
Recent advances in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) have enabled diverse retrieval methods. However, existing retrieval methods often fail to a…
Exploring Diffusion Models for Generative Forecasting of Financial Charts
Taegyeong Lee, Jiwon Park, Kyunga Bang +2
Recent advances in generative models have enabled significant progress in tasks such as generating and editing images from text, as well as creating videos from text prompts, and t…
QGuard:Question-based Zero-shot Guard for Multi-modal LLM Safety
Taegyeong Lee, Jeonghwa Yoo, Hyoungseo Cho +2
The recent advancements in Large Language Models(LLMs) have had a significant impact on a wide range of fields, from general domains to specialized areas. However, these advancemen…
Multi-aspect Knowledge Distillation with Large Language Model
Taegyeong Lee, Jinsik Bang, Soyeong Kwon +1
Recent advancements in deep learning have significantly improved performance on computer vision tasks. Previous image classification methods primarily modify model architectures or…
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance
Soyeong Kwon, Taegyeong Lee, Taehwan Kim
Text-guided image editing and generation methods have diverse real-world applications. However, text-guided infinite image synthesis faces several challenges. First, there is a lac…
Grid Diffusion Models for Text-to-Video Generation
Taegyeong Lee, Soyeong Kwon, Taehwan Kim
Recent advances in the diffusion models have significantly improved text-to-image generation. However, generating videos from text is a more challenging task than generating images…
Generating Realistic Images from In-the-wild Sounds
Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim +1
Representing wild sounds as images is an important but challenging task due to the lack of paired datasets between sound and images and the significant differences in the character…