3 papers
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…
cs.AI2025
From System 1 to System 2: A Survey of Reasoning Large Language Models
Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang +18
Achieving human-level intelligence requires refining the transition from the fast, intuitive System 1 to the slower, more deliberate System 2 reasoning. While System 1 excels in qu…