Training, learning and inference: unified dynamics of neural systems
We define an atomic generation fact f=(u,tau,omega,z;rho), recording the origin, realized transformation, concrete oc...
每天自动聚合 AI 领域最新动态
We define an atomic generation fact f=(u,tau,omega,z;rho), recording the origin, realized transformation, concrete oc...
Large language models (LLMs) are increasingly deployed with layered defenses, yet malicious prompts can still bypass ...
Recent generative approaches to geometry estimation adapt pretrained image diffusion models and treat the task as ima...
Interactive web application generation requires models to produce usable HTML, CSS, and JavaScript applications from ...
LLM-based agents can interact with external environments through tool invocation, but this capability also introduces...
Streaming 3D reconstruction from extremely long videos requires estimating camera motion and scene geometry online un...
Self-evolving language models have recently emerged as a promising path toward superintelligence, with the advantage ...
We present StarHarness, a framework for evolving environment-specific agent harnesses while keeping model weights fix...
Evaluation is shifting from static QA toward agentic settings where models act through external tools. We identify a ...
Language model pretraining has become almost synonymous with prohibitive cost, placing it out of reach for much of th...
Autoregressive video diffusion enables scalable long-video generation by producing chunks from a bounded recent conte...
Scaling video generation to long durations reveals a critical bottleneck: current models lack robust long-term memory...