Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds
Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse exp...
每天自动聚合 AI 领域最新动态
Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse exp...
When a speaker says ``some students passed'', listeners infer that not all of them did. Reasoning models now let user...
People adapt how they talk to the person in front of them. However, chat models tend to respond in Standard English r...
Despite recent progress in dexterous reference tracking, existing models focus primarily on single-hand manipulation ...
Multimodal agents (MMAs) sustain interaction through reasoning, memory, tools, and feedback, most visibly as computer...
Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a deman...
Existing sequential recommenders usually allocate a fixed computational budget to every item in a user's interaction ...
Multimodal code intelligence connects the symbolic world of programs with the visual world their execution creates. I...
This paper addresses the problem of creating immersive volumetric videos from sparse and low-resolution capture resou...
Linear-attention language models keep their context in a recurrent state of fixed size, where an inference system sto...
A login screen that appears after a tap on Sign in is expected; the same screen after a tap on View order is an attac...
Reconstructing 3D scenes from sparse views without per-scene optimization remains highly challenging, especially for ...