MBA: Multimodal Benchmark and Agents for Real-World Business Ideation
Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet exis...
每天自动聚合 AI 领域最新动态
Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet exis...
Videos captured through glass often contain reflections that degrade visual quality and interfere with downstream vis...
Recent work on distillation transfers the capabilities of large models to smaller ones often by updating the latter's...
Multimodal expansion of large language models (LLMs) enables new perceptual capabilities but often compromises the la...
The "thinking-with-images" paradigm equips multimodal LLMs with active visual operations such as crop-and-zoom. Howev...
The rapid advancement of Large Language Models (LLMs) is revolutionizing AI for Games by enabling open-ended and flui...
Recent Vision Foundation Models (VFMs) predict depth, camera pose, and pointmap in a single forward pass without per-...
While Vision-Language-Action (VLA) models have advanced embodied AI, their fundamentally reactive paradigm severely l...
AI agents operate in persistent environments where early state changes can influence decisions far into the future. U...
Complex software systems develop over timescales that exceed the lifespan of any individual coding agent. Most agenti...
Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these ...
Discrete diffusion models for categorical generation are defined by a corruption kernel, which determines the interme...