quickthink is a local-first inference control layer that aims to give small, on-device language models more reliable structured output by inserting a compressed plan-then-answer scaffold with latency-aware routing. Its routing, plan-grammar, and validation logic run as plain-Python middleware (no extra model of its own...
Rolando Bosch Rodriguez· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
This study characterises the methodological architecture that produces apparent ML superiority and translates that diagnosis into minimum standards, and proposes six minimum methodological standards - pre-specification, fair comparator design, robust external or temporal validation, calibration and decision-analytic re...
Szu-Han Wang, Shih-Chieh Shao, Ming-Ren Yang et al.· Journal of Clinical Epidemio...· 0 citations
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In children (2–59 months), oral amoxicillin significantly reduces treatment failure compared to no antibiotics for fast breathing pneumonia and is comparable to injectable antibiotics for chest indrawing pneumonia without danger signs.
Barsha Gadapani Pathak, Y. Bin Nisar, Uma Chandra Mouli Natchu et al.· Journal of Global Health· 0 citations
Primary computational corpus for the manuscript "Large language models that near-perfectly evaluate products systematically recommend a worse familiar brand" (Affonso, Spears School of Business, Oklahoma State University). Contains 627,491 controlled product-recommendation trials across 30 frontier language models from...
Quantum-inspired (QI) optimizers are increasingly proposed as alternatives to classical gradient-based training, yet are frequently benchmarked through classical stand-ins rather than themselves. Across tabular, vision, and language tasks we evaluate three classes: direct implementations of published update rules (Spal...
Uncer-tainTree is presented, an end-to-end process that makes uncertainty a first-class concern of multi-model consistency analysis and includes interacting uncertainties from various sources and models.
Nathan Hagel, Johannes Mäkelburg, M. Armbruster et al.· Proceedings of the ACM/IEEE...· 1 citation
Despite growing interest in prompt engineering, its influence on user experience—particularly in relation to cultural communication norms—remains largely unexplored. This controlled experiment examined how respectful versus directive prompting—a culturally meaningful contrast in Korean—affects Korean users’ psychologic...
ZENODO SUBMISSION — DOI: 10.5281/zenodo.22693244 --- COMPLETE METADATA & DESCRIPTION Basic Information Field ValueTitle The Navier–Stokes Equation and the Noor Ocean in Mainstream Science Terms: A Complete Translation of N-K Sciences into Conventional Physics LanguageAuthor Malik Muhammad UsmanORCID 0009-0004-3269-2819...
Muhammad Usman Malik· Zenodo (CERN European Organi...· 0 citations
Small administrative units in higher education—continuing-education offices, language and culture centers, advising and tutoring services, and similar back-office functions—are routinely expected to deliver responsive, data-informed service with the budgets and staffing of a support desk. Enterprise customer relationsh...
Kazi Niaz Ahmed· Zenodo (CERN European Organi...· 0 citations
Advances in real-world adversarial threats have heightened concerns over the privacy and security of AI systems. One key threat is Data Poisoning, where malicious data is injected into training sets or model inputs to compromise model behavior. While much of the current research focuses on deep learning, particularly F...
Jia Yi Chan, Huaqun Guo, Timothy Liu et al.· Singapore Institute of Techn...· 0 citations