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No existing model can effectively ground the spatial structure of student reasoning in multi-page handwritten homework, revealing a significant gap in automated assessment capabilities.
PreciseDoc achieves unprecedented precision in grounding critical document elements, transforming how LMMs can interpret complex text-rich environments.
Preserving skill-level attention structures in MLLMs can dramatically reduce forgetting while adapting to new tasks without relying on replay mechanisms.
Multimodal perception is no longer just an add-on: GLM-5V-Turbo bakes it directly into the core of reasoning, planning, and action.
