This paper comprehensively evaluates the efficacy of different large language models (LLMs) in addressing mathematical challenges expressed in natural languages, mainly focusing on low-resource languages like Arabic. ...
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作者：
Fawzi, SaharNile University
Medical Informatics Research Group Center for Informatics Science Information Technology and Computer Science School Cairo Egypt
The development of artificial intelligence (AI) provided powerful assistant tools for humans in various aspects. Healthcare is rapidly evolving, with AI playing a crucial role in improving patient care. The extensive ...
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The manual analysis of job resumes poses specific challenges, including the time-intensive process and the high likelihood of human error, emphasizing the need for automation in content-based recommendations. Recent a...
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Corrosion poses a significant challenge in industries due to material degradation and high maintenance costs, making effective inhibitors essential. Recent studies suggest expired pharmaceuticals as alternative corros...
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In recent years, large language models (LLMs) have gained significant traction across various domains, including education. This paper explores the application of LLMs in grading programming assignments. By leveraging...
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Unmanned aerial vehicle (UAV)-enabled massive multiple-input-multiple-output (MIMO) integrated sensing and communication (ISAC) is an emerging platform to perform communication and sensing efficiently and flexibly. Ho...
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Reliability, efficiency and continuity of power energy supplied is an area which receives increasing attention as the main infrastructure of power transmission and distribution systems in many countries is ageing. Hot...
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The proliferation of Large Language Models(LLMs)has catalyzed the growth of various *** is therefore imperative to ensure the controlled and beneficial application of LLMs across specific domains for downstream tasks ...
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The proliferation of Large Language Models(LLMs)has catalyzed the growth of various *** is therefore imperative to ensure the controlled and beneficial application of LLMs across specific domains for downstream tasks through transfer learning,while preserving their general *** propose a novel and on-device efficient fine-tuning optimization algorithm for LLMs,utilizing federated transfer ***,we introduce the Fusion of low Rank Adaptation(FoRA)optimization algorithm from a micro perspective,which enhances multi-dimensional feature aggregation through the addition of efficient *** a meso perspective,we extend the application of the FoRA algorithm across all linear layers within the Transformer architecture to facilitate downstream task ***,from a macro perspective and with a focus on the medical domain,we incorporate quantization techniques into the federated learning framework to achieve on-device efficient fine-tuning optimization,thereby offering dual protection for data and model *** results indicate that,compared to existing state-of-the-art methods,our algorithm significantly improves LLM performance while ensuring dual privacy protection of both data and models.
Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)ma...
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Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.
Digital images are corrupted with noise, and image denoising is an important step in image processing modules. In this review, the latest developments in filtering methods for color image restoration are analyzed. The...
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