Daily Research Brief 2026-04-13

📊 Token usage: estimated from retrieval and writing scale.

Covers the latest AI research, open source and industry moves, updated daily.

Editor’s Note

The paper thread today: Tango tames visual signals for efficient video understanding, LLMs generating harmful content, adaptive neural temporal compression, egocentric think-aloud chains, and VisionFoundry teaching VLMs visual perception.

1. Latest arXiv Papers

1. Tango: Taming Visual Signals for Efficient Video Understanding — https://arxiv.org/abs/2604.09547

2. Large Language Models Generate Harmful Content — Measurement and Mitigation — https://arxiv.org/abs/2604.09544

3. ANTIC: Adaptive Neural Temporal In-Situ Compression — https://arxiv.org/abs/2604.09543

4. EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Understanding — https://arxiv.org/abs/2604.09535

5. VisionFoundry: Teaching VLMs Visual Perception Skills — https://arxiv.org/abs/2604.09531