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Controllable video generation models are increasingly being developed as world models. Accordingly, evaluating them i...
Agent skills have become an important mechanism for equipping language-model agents with reusable procedural knowledg...
Existing skill generation methods largely rely on heuristics or pipeline-style consolidation, which must be specially...
Long-form and real-time talking-head generation remains challenging due to a latency-quality trade-off: inefficient m...
Computer-Aided Design (CAD) underpins modern engineering, yet converting existing shapes into editable models still d...
We introduce DiffusionGemma, an experimental open-weight language model that uses discrete diffusion to generate text...
Large language model (LLM) agents increasingly undertake long-horizon tasks that require sustained reasoning, tool us...
On-policy (self) distillation (OPSD) is increasingly adopted for language-model post-training. It strengthens the tea...
Recent 3D vision-language models (3D VLMs) construct geometry aware tokens by projecting 2D visual features into worl...
Video motion transfer aims to animate a target object using dynamics from a reference video. Existing formulations la...
Multimodal large language models (MLLMs) have advanced visual understanding and reasoning, yet their static parametri...
Vision-language MoE batches contain different numbers of image and text tokens. Image resolution, image count, tiling...