AI Video Papers2026
Turns live video into reusable textual memory and timely responses by training a streaming video LLM to proactively generate time-grounded captions and event summaries. Key components: Proactive Hierarchical Caption Memory (PHCM) for multi-scale records and Proactive State Transition Learning (PSTL) to balance response timing; trained on the OneStreamer-1M streaming dataset.
AI Dataset2026
Provides a monthly Parquet snapshot of ~5.6 billion public TikTok videos (2014–Oct 2026), including captions, hashtags, sounds, engagement metrics and TikTok Shop links. Designed for large-scale querying (DuckDB/Pandas/Polars); licensed CC BY-NC 4.0 for research and personal use.