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MLLMs struggle to grasp deeply interleaved text-image contexts, with performance gaps of over 40% compared to human experts on TIC-Bench.
Hypergraphs can boost semantic interpretation accuracy by over 36% in communication systems, tackling the pitfalls of traditional pairwise graph representations.
Achieving superior lossless image transmission, DDM-SSCC outperforms traditional methods by leveraging a diffusion model for pixel-token restoration and synchronized coding.
