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arXiv:2602.17084v1 Announce Type: new Abstract: The rapid adoption of large language models has led to the emergence of AI coding agents that autonomously create pull …
arXiv:2602.17096v1 Announce Type: new Abstract: As 6G wireless systems evolve, growing functional complexity and diverse service demands are driving a shift from rule-based control to …
arXiv:2602.17106v1 Announce Type: new Abstract: Sustainability or ESG rating agencies use company disclosures and external data to produce scores or ratings that assess the environmental, …
arXiv:2602.17107v1 Announce Type: new Abstract: Shapley value-based methods have become foundational in explainable artificial intelligence (XAI), offering theoretically grounded feature attributions through cooperative game theory. …
arXiv:2602.17111v1 Announce Type: new Abstract: Mastering educational concepts requires understanding both their prerequisites (e.g., recursion before merge sort) and sub-concepts (e.g., merge sort as part …
arXiv:2602.17116v1 Announce Type: new Abstract: Generative AI presents an unprecedented challenge to our understanding of knowledge and its production. Unlike previous technological transformations, where engineering …
arXiv:2602.17130v1 Announce Type: new Abstract: We propose a novel parallel algorithm for decomposing hard CircuitSAT instances. The technique employs specialized constraints to partition an original …
arXiv:2602.17145v1 Announce Type: new Abstract: As the need for more accurate and powerful Convolutional Neural Networks (CNNs) increases, so too does the size, execution time, …
arXiv:2602.17189v1 Announce Type: new Abstract: In this paper we present Texo, a minimalist yet highperformance formula recognition model that contains only 20 million parameters. By …
arXiv:2602.17217v1 Announce Type: new Abstract: Efficiently navigating complex environments requires agents to internalize the underlying logic of their world, yet standard world modelling methods often …
arXiv:2602.17221v1 Announce Type: new Abstract: Generative AI is reshaping knowledge work, yet existing research focuses predominantly on software engineering and the natural sciences, with limited …
arXiv:2602.17222v1 Announce Type: new Abstract: Predicting human decision-making in high-stakes environments remains a central challenge for artificial intelligence. While large language models (LLMs) demonstrate strong …