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Enterprises adopting retrieval-augmented generation (RAG) face a recurring operational decision: promote, revise, or ...
Long-context inference and Retrieval-Augmented Generation (RAG) handle evidence selection at vastly different scales,...
Multimodal Diffusion Transformers (MM-DiTs) jointly process visual and textual representations throughout generation....
Interactive video world models need to generate each video chunk efficiently while responding faithfully to user cont...
Repeated training on model-generated data can degrade later models. One possible response is to use provenance when d...
In cross-lingual zero-shot text-to-speech, the accent of the reference leaks into the target speech. We propose accen...
LLM agents often lack the operational knowledge to act reliably in new environments, as they must discover specific t...
Mobile manipulation extends robot interaction beyond a fixed kinematic workspace by making the reachable region itsel...
Computer-use agents need to reliably ground action targets in complex desktop scenes, where multiple applications, ov...
Existing streaming vision-language models (VLMs) continuously perceive and reason over visual streams, but their comp...
Embodied agents now take on ever longer tasks. For long tasks, knowing only whether a task finally succeeds or fails ...
Manipulation behaviors vary widely across objects and scenes, but they share a small set of reusable skills, and plan...