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Sep 2026

Dual-Dynamic In-Context Learning for Medical Image Segmentation.

Visual in-context learning (ICL) enables medical image segmentation models to adapt to new tasks using only a small set of annotated support images, without additional model fine-tuning. This makes visual ICL promising for clinical deployment, yet a fundamental limitation remains. Current ICL models lack the intrinsic...

Tiana-Tian-Ying Chen, Liang-Li Zhen, Yan-Yu Xu et al. · 0 citations
#natural language process... Preprint Oct 2026

Harness-Search: Guiding Long-Horizon Search through Multi-Agent Coordination

Long-horizon search requires agents to gather evidence across multiple steps and synthesize it into well-supported answers. The recent agent harnesses provide a natural and promising framework to support such long-running search processes. As interaction histories grow, one single agent in harnesses might get stuck and...

Shan-Yong Wang, Zhen-Wen Ji, Lei Jin et al. · 0 citations
#natural language process... Preprint Sep 2026

Momentum-Coupled Rubric Adaptation for Detailed Image Captioning

Detailed image captioning requires accurate and comprehensive descriptions of fine-grained visual content, yet caption quality spans factual accuracy, information coverage, and clarity. Compared with conventional methods that rely mainly on high-quality supervision or holistic rewards, rubric-based reinforcement learni...

Zhen-Wen Ji, Lei Jin, Shanyong Wang et al. · 0 citations

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