Author

Jeongjun Lee

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Preprint Sep 2026

DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing

Large vision-language models (LVLMs) have recently achieved remarkable progress across multimodal tasks, yet object hallucination remains a persistent challenge where models generate descriptions inconsistent with the visual input. Recent work mitigates hallucinations through training-free representation editing, typic...

Jae-Ho Lee, Jeongjun Lee, Gyeong-Moon Park · 0 citations

#artificial intelligence Preprint Sep 2026

ChronoFlow: Hierarchical Flow Matching for Irregular Time Series Generation

Recent advances in generative modeling have substantially improved time series generation, yet most existing methods either assume a regular temporal grid or focus on feature dynamics under a given sampling structure. This makes them illsuited for generating irregular time series in their native form, where a model mus...

Changhun Kim, S. Jang, Jeongjun Lee et al. · 0 citations