Models, methods, and the machinery of intelligence.
arXiv
Verdict: NotableThe 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.
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.
We 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…
Retrieval-augmented generation commonly serves separate models for reranking and answering, duplicating model residency and passage processing.
Expert scientists excel at weighing empirical findings from multiple sources that vary in both statistical reliability and epistemic relevance.
Despite their considerable promise, many current medical foundation models remain modality specific and lack transparent reasoning, limiting clinical adoption.
Ranking aggregation from multiple retrievers is a powerful yet under-explored technique in modern retrieval and RAG systems.
Time-series foundation models (TSFMs) provide zero-shot forecasts for unseen series, but their accuracy varies across datasets.
A central challenge in generative biology is translating knowledge learned from natural sequences and experiments into designs with desired functions.