Explainable AI (XAI) methods like SHAP and LIME produce numerical feature attributions that remain inaccessible to non expert users. Prior work has shown that L...
This paper presents LLM-empowered workflow to support Software Defined Vehicle (SDV) software development, covering the aspects of security-aware system topolog...
The Arabic language is characterized by a rich tapestry of regional dialects that differ substantially in phonetics and lexicon, reflecting the geographic and c...
We are entering a hybrid era in which human developers and AI coding agents work in the same codebases. While industry practice has long optimized code for huma...
Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LL...
From single to multi-core on your local PC and beyond The post Ray: Distributed Computing for All, Part 1 appeared first on Towards Data Science....
While confidence estimation is a promising direction for mitigating hallucinations in Large Language Models (LLMs), current research dominantly focuses on singl...
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Functional programming provides strong foundations for developing reliable and secure software systems, yet its adoption remains not widespread due to the steep...
Domain alignment refers broadly to learning correspondences between data distributions from distinct domains. In this work, we focus on a setting where domains ...
We propose a theoretical framework--Holographic Reservoir Computing (HRC)--which hypothesizes that the thermodynamic noise and timing dynamics in voltage-stress...
To enhance the coverage rate of Wireless Sensor Networks (WSNs), this paper proposes an advanced optimization strategy based on a multi-strategy integrated Nort...
