3 papers
cs.CL2026
CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents
Hyunseok Park, Jihyeon Kim, Jongeun Kim +1
Retrieval-Augmented Generation (RAG) systems lose retrieval accuracy when similar documents coexist in the vector database, causing unnecessary information, hallucinations, and fac…
cs.CV2026
From Prompts to Deployment: Auto-Curated Domain-Specific Dataset Generation via Diffusion Models
Dongsik Yoon, Jongeun Kim
In this paper, we present an automated pipeline for generating domain-specific synthetic datasets with diffusion models, addressing the distribution shift between pre-trained model…
cs.CV2025
Your Super Resolution Model is not Enough for Tackling Real-World Scenarios
Dongsik Yoon, Jongeun Kim
Despite remarkable progress in Single Image Super-Resolution (SISR), traditional models often struggle to generalize across varying scale factors, limiting their real-world applica…