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9 件Real-time EEG classification on edge devices is bottlenecked by the floating-point arithmetic of conventional
In line with the prevailing direction of vision research, we explore the integration of both generation and ed
We propose Token-Level Off-Policy Labeling (TOPL), an off-policy training paradigm that reframes post-training
Self-hosted AI agents read and write their own memory and configuration files to function. An agent may get co
Video multimodal large language models (MLLMs) can describe what happens in a video, but rarely identify when
Cross-view geo-localization matches ground-level observations against geo-tagged satellite imagery. Recent met
Graph retrieval-augmented generation (GraphRAG) enhances large language models with structured knowledge, yet
Training-free in-context segmentation enables new object categories to be introduced at inference time from a
Plasma diagnostic models for tokamak fusion devices are almost universally evaluated on clean, complete sensor