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This paper proposes a cloud-edge collaborative architecture for multimodal clinical screening in resource-constrained rural settings, using lightweight edge models to produce structured outputs that a cloud LLM synthesizes into clinical summaries. Evaluated on 100 multimodal cases, the hybrid system achieves high accuracy and factual grounding while transmitting orders of magnitude less data than cloud-only baselines.
StreamChar is a streaming framework for real-time audio-video generation of character animation, using an LLM orchestrator and joint audio-video DiT with two-stage distillation and memory mechanisms to maintain long-horizon consistency and visual quality.