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Forget independent feature extraction: a new architecture uses LVLMs to explicitly model the relationships between drone and satellite imagery, substantially boosting geolocalization accuracy.
LLMs can now generate Innovus Tcl scripts for physical design with higher accuracy, thanks to a new domain-adapted model and benchmark that tackles the data scarcity problem.
Robots can now perform complex manipulation tasks with greater success by dynamically routing between high-level VLM reasoning and specialized diffusion-based action models for arm and gripper control.
Forget interaction-driven next-item prediction: SIGMA uses instruction-following and semantic grounding to create a generative recommender that adapts to evolving trends and diverse tasks on AliExpress.
Forget separate pipelines for EEG, MEG, and fMRI data – this LLM fuses them all into a single semantic space, unlocking more accurate brain decoding.
LLMs can uncover previously hidden vulnerabilities in database management systems by intelligently fuzzing obscure, system-level features that traditional fuzzers miss.
LLM code copilots are put to the test with SecCodeBench-V2, a new benchmark revealing their security vulnerabilities across 22 CWE categories and five programming languages.
