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12 件Generative diffusion models have emerged as a class of powerful techniques for various imaging applications, i
We study scheming in LLM agents, in which agents covertly pursue misaligned goals. Our focus is to understand
Vision transformers (ViTs) have achieved remarkable generalization across visual domains, yet little is known
Three-dimensional femoral reconstruction from radiographs supports surgical planning, implant sizing, and post
Pancreatic tumor segmentation in 3D CT volumes is challenged by extreme scale variability across both the panc
機械学習モデルの出力を説明するゲーム理論的手法を取ったライブラリ。
Research teams and organizations often explore unfamiliar free-text collections, from survey comments and revi
Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet
Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a
Instance segmentation of overlapping cells in microscopy remains challenging due to semi-transparent structure
Driver behavior is heterogeneous, context-dependent, and changes over time, and these properties shape the tra