# Mingjingduomotaidamoxing

We propose a new multimodal large model paradigm: the Hypergraph Multimodal Large Language Model (HMLLM). It uses hypergraphs to model complex relationships among video elements, EEG signals, and eye-tracking data. Integrating modalities closes semantic gaps and improves reasoning and semantic analysis, allowing HMLLM to simulate different groups' varied responses to the same video elements.

We propose a new multimodal large model paradigm: the Hypergraph Multimodal Large Language Model (HMLLM). It uses hypergraphs to model complex relationships among video elements, EEG signals, and eye-tracking data. Integrating modalities closes semantic gaps and improves reasoning and semantic analysis, allowing HMLLM to simulate different groups' varied responses to the same video elements.

Canonical: https://uniquebase.ai/products/mingjingduomotaidamoxing
Stable identifier: UB-D931
Snapshot captured: 2026-10-15T14:23:27.067Z
English updated: 2026-10-15T22:59:03.657Z

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