RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents
Modern embodied agents achieve impressive success rates, yet their actual instruction-following ability is far weaker...
每天自动聚合 AI 领域最新动态
Modern embodied agents achieve impressive success rates, yet their actual instruction-following ability is far weaker...
Linear RNNs based on the delta-rule enable efficient sequence modeling, but their linear updates with a low-rank corr...
Evaluating an AI system requires disaggregated assessment, as performance varies across domains such as benchmark tas...
Vision-Language-Action (VLA) models demonstrate strong generalization in robotic manipulation and navigation, but exi...
Tool-calling LLM agents are increasingly deployed in enterprise applications. However, effective evaluation and optim...
We present TAPe+ML v3, a compact computer vision system based on TAPe (Theory of Active Perception), a structured rep...
Large language models can hold knowledge they do not report. A model may sandbag on a capability evaluation, or answe...
High-quality texture generation is essential for creating realistic and production-ready 3D assets. Recent multi-view...
Natural interaction in digital and physical environments requires continuous perception and timely responses. Spoken ...
Standard subword tokenizers either treat every orthographic variation of a word (such as hello, Hello, HELLO, and Hél...
Autonomous agent systems increasingly depend on reusable skill abstractions for consolidating experiential knowledge ...
Building general-purpose agents for industrial deployment requires integrating multiple capabilities, each typically ...