5 citations · 9 across the 8 of their papers we have counts for
8 papers
TranslatePsy-AfriSLM: High-Quality Data Scaling For Low-Resource Machine Translation
Milan Gritta, Patrik Lambert, Jihye Back +1
The rapid progress in Artificial Intelligence has largely bypassed African languages, creating a digital divide that limits AI adoption on the continent. Recent open-source LLMs sy…
From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines
Sunkyung Lee, Jihye Back, Donghyeon Jeon +4
Generative information retrieval (GenIR) formulates the retrieval process as a text-to-text generation task, leveraging the vast knowledge of large language models. However, existi…
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
Ohjoon Kwon, Changsu Lee, Jihye Back +3
Large language models (LLMs) have been widely used for relevance assessment in information retrieval. However, our study demonstrates that combining two distinct small language mod…
Magnitude Attention-based Dynamic Pruning
Jihye Back, Namhyuk Ahn, Jangho Kim
Existing pruning methods utilize the importance of each weight based on specified criteria only when searching for a sparse structure but do not utilize it during training. In this…
Interactive Cartoonization with Controllable Perceptual Factors
Namhyuk Ahn, Patrick Kwon, Jihye Back +2
Cartoonization is a task that renders natural photos into cartoon styles. Previous deep cartoonization methods only have focused on end-to-end translation, which may hinder editabi…
WebtoonMe: A Data-Centric Approach for Full-Body Portrait Stylization
Jihye Back, Seungkwon Kim, Namhyuk Ahn
Full-body portrait stylization, which aims to translate portrait photography into a cartoon style, has drawn attention recently. However, most methods have focused only on converti…
Cross-Domain Style Mixing for Face Cartoonization
Seungkwon Kim, Chaeheon Gwak, Dohyun Kim +4
Cartoon domain has recently gained increasing popularity. Previous studies have attempted quality portrait stylization into the cartoon domain; however, this poses a great challeng…
Fine-Tuning StyleGAN2 For Cartoon Face Generation
Jihye Back
Recent studies have shown remarkable success in the unsupervised image to image (I2I) translation. However, due to the imbalance in the data, learning joint distribution for variou…