Author

Gang Li

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Preprint Aug 2026

MiDashengLM-Gen: Unified Audio Scene Generation via LLM-Driven Autoregressive Flow Matching

MiDashengLM-Gen is an end-to-end framework that couples a pre-trained Large Language Model (LLM) with per-token conditional flow matching for autoregressive, variable-length mixed-audio scene generation and drastically improves speech intelligibility over existing unified models.

Xingwei Sun, Heinrich Dinkel, Gang Li et al. · 0 citations

#computer vision Jun 2026

MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering

MemoryCard is a video-memory-based augmentation framework that organizes long videos into self-contained Memory Cards, each corresponding to a distinct topic or event, and consistently improves long-video QA performance under comparable visual-token budgets.

Qing Yang, Pengcheng Huang, Xinze Li et al. · arXiv.org · 0 citations