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Fu-Tian Wang

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#artificial intelligence Preprint Aug 2026

MGRL-RSCC: Multi-Granularity Reward Reinforcement Learning for Fine-Grained Remote Sensing Change Captioning

Remote Sensing Change Captioning (RSCC), which aims to generate accurate and detailed linguistic descriptions of ground object variations from bi-temporal remote sensing images, is a critical and challenging task in intelligent remote sensing interpretation. The mainstream autoregressive training paradigm faces severe...

Fu-Tian Wang, Meng-Qi Wang, Xiao Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MAC-RRG: Iterative Multi-Agent Collaboration for X-ray Radiology Report Generation

Despite the remarkable progress of LLM-based and knowledge graph-augmented Radiology Report Generation (RRG) methods, existing techniques still suffer from inherent defects. Conventional LLM-only models lack structured medical prior knowledge, resulting in frequent medical hallucinations and low diagnostic interpretabi...

Fu-Tian Wang, Yu-Han Qiao, Xiao Wang et al. · 0 citations

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