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cs.CV2026
Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow
Chengxin Liu, Wonseok Choi, Chenshuang Zhang +1
Vision-Language Models (VLMs) have demonstrated strong capability in a wide range of tasks such as visual recognition, document parsing, and visual grounding. Nevertheless, recent…
cs.CV2026
Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language
Peijie Wang, Ming-Liang Zhang, Jun Cao +10
Multimodal Large Language Models (MLLMs) have achieved remarkable progress but continue to struggle with geometric reasoning, primarily due to the perception bottleneck regarding f…