Models, methods, and the machinery of intelligence.
arXiv
Verdict: NotableWe present Youtu-Parsing-Omni, an omni-modal parser that converts documents, images, audio, and video into structured records grounded in space and time, providing a perception layer for agents that read, locate, and…
Diffusion vision-language models (DVLMs) process their entire input at every denoising step.
The hair of stylized characters in games and avatars is built from hair cards: artist-placed ribbons whose geometry is the visible hair, animated by spring bones.
Scaling supervised training for working agents requires diverse professional tasks that yield reliable expert demonstrations.
Multimodal perception forms the foundation of multimodal intelligence.
Multi-Token Prediction (MTP) is now a common ingredient in language-model pre-training, as it improves downstream performance and enables faster inference through speculative decoding.
Retrieval-augmented generation commonly serves separate models for reranking and answering, duplicating model residency and passage processing.
Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation.
Learning controllable world dynamics from heterogeneous interaction videos is challenging because robot embodiments use incompatible action spaces, while human videos lack native control ....