The Lattice of Transition Laws
Diffusion and autoregression (AR) have long been seen as different categories of generative models, with diffusion sp...
每天自动聚合 AI 领域最新动态
Diffusion and autoregression (AR) have long been seen as different categories of generative models, with diffusion sp...
The prevailing approach to improving robot foundation models (RFMs) relies on larger models, more robot demonstration...
Multimodal large language models (MLLMs) often struggle to identify and use geometric relations in diagrams. Recent m...
Self-supervised multimodal representation learning has achieved remarkable success across diverse domains, yet captur...
Current 3D generation methods lack explicit local control: geometric adherence is often defined by a global control s...
World action models (WAMs) predict actions and future observations, typically from a reconstruction-based representat...
Safety benchmarks typically report one overall score for a suite of datasets, each of which may target one or more sa...
LLM developers post-train their models to exhibit prosocial values and behavioral traits, which are enumerated in an ...
Generating realistic human-object interactions (HOI) in complex 3D scenes requires two complementary capabilities: re...
A generalist robot should not only perform diverse tasks but also improve through experience, turning what it learns ...
AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively ...
Recent incidents have highlighted the challenge of monitoring LLM agents and the danger of models deceiving people. W...