Models, methods, and the machinery of intelligence.
arXiv
Verdict: MajorDiffeomorphisms provide a flexible, topology-preserving mathematical tool for modeling complex spatial or temporal deformations and are used in various scientific fields.
Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction.
Multi-agent systems often rely on predefined collaboration structures, limiting their ability to adapt to diverse task requirements.
Memory is increasingly used in long-horizon agents, yet the net value of building memory over direct retrieval from raw history remains largely unclear.
Multimodal perception forms the foundation of multimodal intelligence.
Localized AI manipulations in long-form videos often affect brief events within otherwise authentic content, making video-level classification insufficient for forensic analysis.
In this paper, we introduce Δτ-Bench, an executable agent benchmark that models the structural evolution of large tool ecosystems.
Can LLM agents carry a hard real-world problem from raw data to a system that holds its own against people?
Learning controllable world dynamics from heterogeneous interaction videos is challenging because robot embodiments use incompatible action spaces, while human videos lack native control ....