PEEK: Picking Essential Frames via Knowledge Distillation
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An AI captioner can only look at a few frames of a video — PEEK is a tiny, fast model that picks the most useful ones, learning what matters from a “cheating” expert it then throws away. Best when the budget is one or two frames, for ~5% added time instead of rivals' 65–212%.
May 2026
Télécom SudParis & Moments Lab
Gemini Embedding 2: A Native Multimodal Embedding Model
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One model that maps text, images, video, and audio — and any mix of them — into a single shared vector space, beating specialized models at their own games and proving native audio embedding beats transcribe-then-embed.
May 2026
Google DeepMind
PersonaLive: Real-Time Diffusion Portrait Animation
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How to make a diffusion model animate portraits at 15–20 FPS live — by distilling 20 denoising steps into 4, and replacing batch generation with a sliding window that streams frames continuously.
December 2025
University of Macau & Dzine.ai & Great Bay University
How Much Do Language Models Memorize?
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GPT-style models store ~3.6 bits per parameter. This paper measures exactly how much models memorize, explains double descent, and predicts when privacy attacks fail.
June 2025
Meta FAIR + Google DeepMind + Cornell + NVIDIA
Avatar V: Scaling Video-Reference Avatar Generation
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How HeyGen generates talking avatar videos that preserve identity, talking style, and micro-expressions from a short reference video.
April 2026
HeyGen Research
Attention Is All You Need: The Transformer
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The 2017 paper that threw out step-by-step recurrence and rebuilt sequence models out of pure attention — letting every word look at every other at once. It set translation records, trained far cheaper, and became the architecture behind nearly every modern AI model.
June 2017
Google Brain & Google Research