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Sieun Hyeon

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Preprint Sep 2026

What Comes Next? Omni-StoryBench for Evaluating Story-Grounded Omnimodal Generation

Omnimodal evaluation should go beyond independent text, image, and speech production: individually plausible outputs may not express a coherent shared event. We introduce Omni-StoryBench, a story-grounded omnimodal benchmark evaluating whether models can coherently continue stories across image, narration, and speech....

Sieun Hyeon, Yejoo Lee, Mintaek Lim et al. · 0 citations
#machine learning Preprint Sep 2026

Beyond Retraining-Free MoE Compression: A Cost-Normalized Study of Post-Compression Adjustment

This work argues that retraining-free compression should be paired with small post-compression adjustment to recover a substantial portion of the performance lost during compression, and suggests that retraining-free compression should be paired with small post-compression adjustment to recover a substantial portion of...

Sieun Hyeon, Jaeyoung Do · 0 citations

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