每天自动聚合 AI 领域最新动态
Modern language models are likely to be updated throughout their lifetime rather than trained once and frozen. Each u...
*Reinforcement learning (RL)* can induce substantial reasoning capabilities in large language models (LLMs), but how ...
Agents increasingly build on code written by other agents, and they reimplement rather than reuse, growing the codeba...
Language model agents serving organizations must coordinate requests from multiple users while using knowledge distri...
Chunked KV-cache compression reduces the memory and attention costs of long-context inference by compressing windows ...
State Space Models (SSMs) compress sequence history into a bounded recurrent state, making the resulting memory law a...
Looped language models (LoopLMs) increase computational depth through parameter sharing, offering a path to scale inf...
Diffusion models can produce striking images and videos, but they still struggle with the compositional details that ...
Browser-use agents often carry information in their context as they move between websites. While it may be necessary ...
Teaching humanoids loco-manipulation skills, such as carrying diverse objects, via visual imitation is a promising pa...
Ship structural vibrations contribute to noise, fatigue, and equipment damage, while dynamic-compliance topology opti...
Risk aversion in resources could prevent misaligned AI agents from causing catastrophic harm. Misaligned but risk-ave...