Papers by Seokhoon Kang

2 papers
Sound of Story: Multi-modal Storytelling with Audio (2023.findings-emnlp)

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Challenge: Existing studies on storytelling with sound have focused on visuals and sounds, but little attention has been given to sound.
Approach: They propose to establish a new component called background sound which is story context-based audio without any linguistic information.
Outcome: The proposed dataset is the largest well-curated dataset for storytelling with sound . it contains 27,354 stories with 19.6 images per story and 984 hours of speech-decoupled audio .
Difficulty-Controllable Cloze Question Distractor Generation (2026.acl-long)

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Challenge: Existing methods for generating high-quality distractors lack adaptability and control over difficulty levels.
Approach: They propose a two-way distractor generation process to generate plausible distractors using an ensemble QA system and a multitask learning strategy to train a difficulty-controllable generation model.
Outcome: The proposed method significantly outperforms GPT-4o in aligning distractor difficulty with human perception.

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