Outcome-based metrics alone are insufficient proxies for clinical utility in ART decision support and algorithmic improvement and clinical alignment suggest a possible decoupling; a phenomenon the authors term the alignment paradox.
Dou Liu, Ying Long, Sophia Zuoqiu et al.· Journal of Medical Internet...· 0 citations
The deployment of Large Language Models (LLMs) on consumer edge devices is throttled by the “Memory Wall”—the prohibitive bandwidth and energy cost of fetching gigabytes of model weights from DRAM for every token generated. Current architectures (GPUs, NPUs) treat model weights as mutable software data, incurring massi...
There are many ways to split a vector field in two. What this paper shows is that which of them belongs to the field and which to the coordinates can be measured by rotating the coordinates. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Helmholtz decomposition...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Complete lattice computation of Wilson loop expectation values under SU(3) gauge theory on a four-dimensional Euclidean lattice. Establishes color confinement via the area law and extracts the non-perturbative Yang-Mills mass gap of 77.71 MeV from the two-point glueball correlator spectral decomposition. ⚖️ PROPRIETARY...
Dimitar Stavrev Prodromov· Zenodo (CERN European Organi...· 0 citations
As large language models (LLMs) are increasingly used for autonomous decision-making and action support, it becomes important not only for them to achieve a given objective efficiently, but also to question whether that objective should be optimized as stated. This study positions Goal-Questioning as a Meta-Reasoning c...
Toshiaki Kakii· Zenodo (CERN European Organi...· 0 citations
Large-language-model agents can be combined into persistent systems with differentiated roles, memory, coordination, tools and operational continuity. Yet aggregation, scale and commercial productivity alone do not create an organism. This paper introduces the concept of the artificial collective organism: a bounded di...
John Kalyan Basu· Zenodo (CERN European Organi...· 0 citations
# Structured extraction of breast cancer pathology reports by five large language models (TCGA cohort) ## Description This dataset accompanies the manuscript *"Secure large language models for structured breast cancerpathology extraction: a consensus- and embedding-based evaluation"* (Astruc et al., manuscript inprepar...
Roman Rouzier· Zenodo (CERN European Organi...· 0 citations
Generative AI based on large language models (LLMs) is increasingly used in academic, journalistic, and other professional and online writing, yet its implications for human authorship remain contested. We asked whether assignment of authorship credit depends on which task within the larger writing process a writer del...
F. Feroz, Ivar R. Hannikainen, Jim A. C. Everett et al.· 0 citations
Gravity bends light and gathers it as a lens does. Yet measure the curvature of the very geometry that light travels in, and it is negative. This paper counts that discrepancy as a difference in the region of integration. No new theorem and no new law is claimed. Scope of this paper (scope note): No new theorem and no...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Light emitted at the origin is said to spread as a sphere in every frame. This paper counts what comes out when that sphere is cut by the simultaneity of another frame. No new theorem and no new law is claimed. Scope of this paper (scope note): No new theorem and no new law is claimed──the Lorentz transformation, the i...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026