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14 件Deployed language models are updated continually, and regulators increasingly accept changes that were declare
Overall and group-level averages, and ranking metrics such as the AUC, can hide sets of observations for which
An experimental agent can succeed for the wrong reasons. Evaluations, however, often focus on the outcome, not
Source-only domain generalization (DG) for remote sensing semantic segmentation seeks reliable predictions in
Geospatial text spotting involves locating and transcribing geographic labels, such as road names, district na
Electroencephalography (EEG) provides a non-invasive means for neurological and mental health assessment, yet
Vision-language models for remote sensing answer questions about satellite images by generating text: every an
Coding agents solve repository issues through long sequences of exploration, editing, and validation. These tr
Unlike autoregressive (AR) models, diffusion language models (DLMs) permit parallel token updates, flexible ge
Progress toward artificial general intelligence (AGI) has largely relied on scaling a resource-intensive execu
Interactive world models generate visual content conditioned on user actions, yet maintaining spatial consiste
One-step and few-step text-to-image generation must accurately render the details specified in the prompt desp
Real-world forgery is inherently heterogeneous: it manifests not only as digital manipulation but also as phys
Locating relevant evidence in long inputs is a core capability of Multimodal Large Language Models. Prior stud