CDPR uses an intuition pathway for cross-modal consensus and a reasoning pathway for quantifying and mitigating inconsistencies to improve multimodal intent recognition.
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LLM-assisted text-to-model approach generates 23 TMK models from course materials, cutting expert modeling time by 50-70% and supporting scalable procedural skill tutoring.
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Mitigating Multimodal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition
CDPR uses an intuition pathway for cross-modal consensus and a reasoning pathway for quantifying and mitigating inconsistencies to improve multimodal intent recognition.
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Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach
LLM-assisted text-to-model approach generates 23 TMK models from course materials, cutting expert modeling time by 50-70% and supporting scalable procedural skill tutoring.