Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment
Read the original on arXiv AI →The paper introduces CS‑VAR, a Cross‑Session Evidence‑Aware Retrieval‑Augmented Detector that uses a lightweight, domain‑specific model for fast session‑level risk inference in live streaming. The model is trained with guidance from a Large Language Model that reasons over retrieved cross‑session behavioral evidence, enabling the small model to recognize recurring risk patterns and perform structured risk assessment. Experiments on large industrial datasets and online validation show that CS‑VAR achieves state‑of‑the‑art performance while providing interpretable, localized signals for real‑world moderation.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.