activity
20232025
most citedDAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

MoFE: Mixture of Frozen Experts Architecture

Jean Seo, Jaeyoon Kim, Hyopil Shin

We propose the Mixture of Frozen Experts (MoFE) architecture, which integrates Parameter-efficient Fine-tuning (PEFT) and the Mixture of Experts (MoE) architecture to enhance both…

cs.CL2025

How does a Language-Specific Tokenizer affect LLMs?

Jean Seo, Jaeyoon Kim, SungJoo Byun +1

The necessity of language-specific tokenizers intuitively appears crucial for effective natural language processing, yet empirical analyses on their significance and underlying rea…

cs.CL2024★ 1 cited

DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine

Jean Seo, Jongwon Lim, Dongjun Jang +1

We introduce DAHL, a benchmark dataset and automated evaluation system designed to assess hallucination in long-form text generation, specifically within the biomedical domain. Our…

cs.CL2024

ManWav: The First Manchu ASR Model

Jean Seo, Minha Kang, Sungjoo Byun +1

This study addresses the widening gap in Automatic Speech Recognition (ASR) research between high resource and extremely low resource languages, with a particular focus on Manchu,…

cs.CL2024

Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition

Sungjoo Byun, Jiseung Hong, Sumin Park +5

Named Entity Recognition (NER) plays a pivotal role in medical Natural Language Processing (NLP). Yet, there has not been an open-source medical NER dataset specifically for the Ko…

cs.CL2024

CARBD-Ko: A Contextually Annotated Review Benchmark Dataset for Aspect-Level Sentiment Classification in Korean

Dongjun Jang, Jean Seo, Sungjoo Byun +3

This paper explores the challenges posed by aspect-based sentiment classification (ABSC) within pretrained language models (PLMs), with a particular focus on contextualization and…

cs.CL2023

DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP

Dongjun Jang, Sangah Lee, Sungjoo Byun +8

This paper presents the DaG LLM (David and Goliath Large Language Model), a language model specialized for Korean and fine-tuned through Instruction Tuning across 41 tasks within 1…

cs.CL2023

Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data

Jean Seo, Sungjoo Byun, Minha Kang +1

The Manchu language, with its roots in the historical Manchurian region of Northeast China, is now facing a critical threat of extinction, as there are very few speakers left. In o…