AI 연구 논문 데일리

MoAI: Mixture of All Intelligence for Large Language and Vision Models

Chronos: Learning the Language of Time Series

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM

DragAnything: Motion Control for Anything using Entity Representation

FAX: Scalable and Differentiable Federated Primitives in JAX

Learning Generalizable Feature Fields for Mobile Manipulation