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130

arXiv:2502.10239v2 Announce Type: replace
Abstract: Federated fine-tuning offers a promising approach for tuning Large Language Models (LLMs) on edge devices while preserving data privacy. However, fine-tuning these models on edge devices remains challenging due to high memory, communication, and c…
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120

arXiv:2512.15993v1 Announce Type: new
Abstract: This paper presents a robotic mowing framework that actively enhances garden biodiversity through visual perception and adaptive decision-making. Unlike passive rewilding approaches, the proposed system uses deep feature-space analysis to identify and…
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311

arXiv:2512.15733v1 Announce Type: cross
Abstract: Energy and pollution are urging problems of the 21th century. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives…
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210

Scientists are using CRISPR to fast-track the domestication of a wild fruit. For roughly 10,000 years, farming communities have improved crops by saving seeds from plants that produced better harvests. By repeatedly choosing varieties with desirable traits such as larger size, better flavor, and gre…
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229

arXiv:2507.07390v2 Announce Type: replace
Abstract: Molecular dynamics is crucial for understanding molecular systems but its applicability is often limited by the vast timescales of rare events like protein folding. Enhanced sampling techniques overcome this by accelerating the simulation along ke…
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222

arXiv:2512.15979v1 Announce Type: new
Abstract: Large Language Models (LLMs) are increasingly used in empirical software engineering (ESE) to automate or assist annotation tasks such as labeling commits, issues, and qualitative artifacts. Yet the reliability and reproducibility of such annotations …
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220

arXiv:2512.16860v1 Announce Type: new
Abstract: Non-Orthogonal Multiple Access (NOMA) technology has emerged as a promising technology to enable massive connectivity and enhanced spectral efficiency in next-generation wireless networks. In this study, we propose a novel two-user downlink power-doma…
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120

A research team developed two flavor-enhancing techniques that transform carob pulp into a delicious, sustainable alternative to cocoa. Rising temperatures and the spread of crop diseases are placing increasing pressure on the global supply of cocoa. In response to these challenges, researchers at t…
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220

arXiv:2512.16266v1 Announce Type: new
Abstract: Fluorescence lifetime imaging microscopy (FLIM) is a powerful quantitative technique that provides metabolic and molecular contrast, offering strong translational potential for label-free, real-time diagnostics. However, its clinical adoption remains …
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231

arXiv:2512.15830v1 Announce Type: new
Abstract: Decoding speech from brain activity has typically relied on limited neural recordings collected during short and highly controlled experiments. Here, we introduce a framework to leverage week-long intracranial and audio recordings from patients underg…
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111

arXiv:2512.16178v1 Announce Type: new
Abstract: Although traditional cameras are the primary sensor for end-to-end driving, their performance suffers greatly when the conditions of the data they were trained on does not match the deployment environment, a problem known as the domain gap. In this wo…
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319

arXiv:2508.00836v5 Announce Type: replace
Abstract: The rapid growth of preprint servers has accelerated scientific dissemination but has also shifted the technical burden of manuscript preparation to authors. This challenge is particularly acute in computational research, where manuscripts must re…
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111

arXiv:2512.16140v1 Announce Type: new
Abstract: We propose a hybrid reconstruction framework for dual-spectral CT (DSCT) that integrates iterative methods with deep learning models. The reconstruction process consists of two complementary components: a knowledge-driven module and a data-driven modu…
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230

arXiv:2512.16921v1 Announce Type: new
Abstract: Conventional evaluation methods for multimodal LLMs (MLLMs) lack interpretability and are often insufficient to fully disclose significant capability gaps across models. To address this, we introduce AuditDM, an automated framework that actively disco…
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