Author

Jungwoo Park

DMIS Lab, Korea University

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#artificial intelligence Preprint Oct 2026

Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models

Recent advances in search agents have enabled large language models to tackle complex tasks by retrieving and synthesizing external information. However, existing search agents often lack search-state awareness, i.e., the ability to recognize what information has been obtained and what remains missing, leading to hallu...

Taewhoo Lee, Min-Ju Song, Jungwoo Park et al. · 0 citations

#artificial intelligence Preprint Oct 2026

UltraBERT: Beyond the Limit of BERT Pre-Training

Recent bidirectional encoders have been modernized with innovations from causal large language models (LLMs). However, the pretraining recipe itself remains inherited from small-scale conventions, leaving encoders underoptimized, with no single model performing competitively across both classification and retrieval tas...

Jungwoo Park, Taewhoo Lee, Jaewoo Kang · 0 citations

#computer vision Jul 2026

Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language Retrieval

SaMer is proposed, an object-aware token merging framework that compresses image-side post-projector tokens into representative centroids while preserving the original late-interaction interface, and outperforms compression baselines and shows stronger phrase-level grounding, suggesting that efficient multi-vector retr...

Suhyeong Park, Junha Jung, Jungwoo Park et al. · arXiv.org · 1 citation