4 papers · 1 filter
KoBALT: Korean Benchmark For Advanced Linguistic Tasks
Hyopil Shin, Sangah Lee, Dongjun Jang +9
We introduce KoBALT (Korean Benchmark for Advanced Linguistic Tasks), a comprehensive linguistically-motivated benchmark comprising 700 multiple-choice questions spanning 24 phenom…
KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models
Dongjun Jang, Sungjoo Byun, Hyemi Jo +1
Instruction Tuning on Large Language Models is an essential process for model to function well and achieve high performance in specific tasks. Accordingly, in mainstream languages…
Automatic Construction of a Korean Toxic Instruction Dataset for Ethical Tuning of Large Language Models
Sungjoo Byun, Dongjun Jang, Hyemi Jo +1
Caution: this paper may include material that could be offensive or distressing. The advent of Large Language Models (LLMs) necessitates the development of training approaches that…
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…