Papers with Korean LLMs

1 papers
KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models (2024.lrec-main)

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Challenge: Instruction tuning on large language models is an essential process for models to function well and achieve high performance in the specific tasks.
Approach: They propose to use KIT-19 as an instruction dataset for the development of LLM in Korean to demonstrate its effectiveness.
Outcome: The proposed model outperforms existing Korean LLMs.

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