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This paper addresses the challenging problem of uncertainty estimation in multimodal large language models (MLLMs), especially for open-ended tasks where.
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This study investigates whether halo mass alone governs the clustering and star-formation activity of galaxies, or whether secondary halo properties and.
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DA-Studio addresses real-world data analysis as a complex multi-step workflow involving heterogeneous inputs, rather than single-step outputs.
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This paper presents an in-depth overview and analysis of two code-based digital signature schemes—CROSS and LESS—that are candidates in NIST's.
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DriveWeaver addresses the challenge of inserting controllable, high-fidelity foreground vehicles into autonomous driving simulation videos without relying.
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This work addresses the fundamental challenge of generating high-fidelity entanglement across multiple remote quantum nodes — a key enabling resource for.
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Low-resolution face recognition (LR-FR) presents significant challenges due to severe degradation in probe images (blur, occlusion, low contrast) and a.
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The Federated Sovereign Transport Protocol (FSTP) addresses a fundamental gap in existing federation protocols by embedding data confinement as a.
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This paper addresses the challenge of deploying Vision Transformer (ViT) models on resource-constrained edge devices, focusing on FPGA acceleration.
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The paper addresses the challenge of predicting diverse forest structural attributes at a national scale from highly heterogeneous airborne LiDAR data.
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This paper addresses the long-standing open problem of rigorously establishing superconvergence for central discontinuous Galerkin (CDG) methods applied.
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This work addresses a key inefficiency in current computer-use agent training pipelines, which discard failed execution trajectories despite their rich.
