Author

Hee Suk Yoon

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#artificial intelligence Preprint Sep 2026

Domain Recentering and Confidence-Weighted Prior Calibration for Vision-Language Models

Vision-language models such as CLIP achieve strong zero-shot classification, yet under distribution shift, visual embeddings drift from fixed text embeddings. Training-free calibration avoids the per-sample optimization of prompt learning, but prior feature calibration gives each image the full bias of one hard cluster...

Youngeun Seol, Jiyon Shin, Hee Suk Yoon et al. · 0 citations

Open access 2026

Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning

A reinforcement learning framework to mitigate object hallucination in LVLM-based image captioning, driven entirely by natural language processing (NLP) metrics, and can enhance caption quality by incorporating complementary evaluation metrics such as BERTScore and METEOR.

T. Nguyen, Hee Suk Yoon, T. Luu et al. · IEEE Access · 0 citations