Papers by Soonwon Ka

2 papers
Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models (2025.naacl-industry)

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Challenge: Large Language Models (LLMs) have impacted the writing process, enhancing productivity by collaborating with humans in content creation platforms.
Approach: They propose a framework that uses explicit outlines to guide LLMs in generating goal-oriented, high-quality text.
Outcome: The proposed approach significantly improves text quality according to evaluations by LLMs and professional writers.
HyperT5: Towards Compute-Efficient Korean Language Modeling (2023.acl-industry)

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Challenge: Pretraining and fine-tuning language models is a common practice in NLP, but deploying general-purpose language models without the abundant computation or data resources is proving difficult.
Approach: They propose a sequence-to-sequence language model architecture that can be more practical and compute-efficient than the decoder-oriented approach.
Outcome: The proposed language model outperforms competing models in Korean benchmarks and is more efficient in low-resource settings.

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