Dec 25, 2025 · Artificial Intelligence

How RAVEN Leverages Reinforcement Reasoning for Precise Ad Video Violation Grounding

RAVEN is a reinforcement‑reasoning framework that combines curriculum learning with hierarchical rewards to enable multimodal large language models to accurately locate and classify violation segments in advertisement videos, even under noisy, large‑scale industrial data.

AdvertisingCurriculum Learningmultimodal LLM

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How RAVEN Leverages Reinforcement Reasoning for Precise Ad Video Violation Grounding

Sohu Tech Products

Jul 23, 2025 · Artificial Intelligence

Boosting Video Moderation with Multimodal CLIP and Efficient Vector Search

This article describes how a video review system combines multimodal CLIP models, image‑text feature alignment, and optimized vector‑search databases such as RedisSearch and Elasticsearch to detect prohibited content in real time and perform large‑scale historical recall, while addressing challenges of generalization, storage cost, and inference speed.

AICLIPmodel fine-tuning

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