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The paper addresses the challenge of real-time network orchestration in Low Earth Orbit (LEO) satellite constellations, which are highly dynamic and.
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This paper addresses the challenging problem of producing statistically rigorous and computationally tractable global maps of Ocean Heat Content (OHC).
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This paper addresses the core challenge of zero-shot object goal navigation (ZSON) under RGB-only perception constraints, where no explicit depth.
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The PPT-EVAL benchmark addresses the challenge of evaluating AI agents on realistic, complex PowerPoint slide creation and editing tasks.
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This paper addresses the core bottleneck in building capable web browser agents: decision-making under incomplete information rather than low-level.
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This paper investigates whether modern vision-language models (VLMs) can accurately distinguish between potential and established common ground in.
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Xiaomi-GUI-0 addresses the persistent gap between the high benchmark performance of mobile GUI agents and their practical usability in real-world.
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This paper addresses the challenges of malware classification posed by heterogeneous malware data distributions, the presence of packed binaries, and diverse malware family characteristics
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Cross-view object geo-localization (CVOGL) involves locating a target object seen from a query perspective (such as ground or drone view) within geo-tagged satellite reference images
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This paper addresses fundamental reliability issues in Sparse Autoencoders (SAEs) used to interpret large language model (LLM) activations by breaking them down into sparse, human-understandable fe…
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This paper addresses the pressing challenge of detecting audio deepfakes in a manner that respects user privacy and is computationally efficient for.
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This paper addresses the computational challenge of accurately modeling long-lived gravitational wave inspirals from eccentric black hole binaries using the effective-one-body (EOB) framework
