3 papers
cs.AI2026
Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment
Yuxing Lu, Xukai Zhao, Wei Wu +1
The knowledge base in a retrieval-augmented generation (RAG) system is typically assembled once and never revised, even though the facts a query requires are often fragmented acros…
cs.CV2026
GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text Rendering
Xincheng Shuai, Ziye Li, Henghui Ding +1
Generating accurate glyphs for visual text rendering is essential yet challenging. Existing methods typically enhance text rendering by training on a large amount of high-quality s…
cs.CV2025
GeoZero: Incentivizing Reasoning from Scratch on Geospatial Scenes
Di Wang, Shunyu Liu, Wentao Jiang +10
Multimodal large language models (MLLMs) have undergone rapid development in advancing geospatial scene understanding. Recent studies have sought to enhance the reasoning capabilit…