Researchers describe the Station, an autonomous multi-agent mathematical discovery system where AI agents from different model families collaboratively pursue research…
Researchers developed LAWA, a world action model architecture that represents future intentions using compact latent actions rather than generating explicit…
Researchers developed EchoWM, an omnimodal world model that generates synchronized 720p video, environmental sound, music, and speech while responding to…
Researchers developed TLive-Omni, a multimodal model that processes image, video, audio, and text inputs into a unified representation space for…
Researchers introduce ConceptEdit-12M, a 12-million-pair dataset covering more than 1,000 fine-grained edit concepts to improve image editing models, alongside a…
Researchers introduce Block3D, a text-to-3D generation framework that partitions discrete shape-token sequences into blocks, generates them sequentially, and jointly denoises…
Ant Group researchers propose the User Behavioral Densing Law, which quantifies how tokenization capacity should scale with data size for…
Researchers present RISE, an adaptive framework for world action models that dynamically decides when to stop imagination rollouts based on…
Researchers present ReWorld, an interactive world model that addresses the competing demands of real-time control and long-horizon memory through architectural…
Researchers introduce GameXpert-Bench, an evaluation framework with three benchmark tracks assessing coding agents across the game-development lifecycle: initial creation (GameGen,…
Researchers introduce ARC (Advantage Regularization via Conditioning), a training methodology addressing fairness issues when comparing diverse interaction behaviors in reinforcement…
Researchers present AutoResearch, a two-stage autonomous research system combining idea generation with idea execution. In the generation phase, the system…
