每天自动聚合 AI 领域最新动态
Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but...
Latent world models have shown a remarkable ability to predict future states and to plan in the real world. In practi...
AI agents increasingly operate in environments where they can diagnose failures and improve through experience, yet e...
Text-to-image diffusion models are personalized to a subject by DreamBooth fine-tuning on a handful of its images. In...
Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes dis...
World models, game simulators, and long-take video creation require coherent scene evolution and sustained dynamics o...
A large language model can only use the text that fits in its context window, and it recomputes its internal key-valu...
Reinforcement learning with verifiable rewards (RLVR) turns agent experience into learning signals primarily through ...
Reinforcement Learning (RL) from outcome rewards suffers from sparse supervision, particularly on difficult, long-hor...
Hallucinated information can propagate through multi-stage LLM systems and become part of the context for subsequent ...
Multi-teacher on-policy distillation (MOPD) is used in two settings. In common-domain composition, several teachers s...
We present FoldBack, a self-correcting masked generative policy for long-horizon garment folding. Existing long-traje...