Document 74 // Monograph Series on Causal Inertia & Epistemic Governance Author: Marius Egerhei Torjusen (ORCID: 0009-0006-0431-6637) Affiliation: Chief Architect, ReismannPoint Systems // Brahman Ventures (Locus Zero Research Division, Risør, Norway) Series Lineage: Direct operational, mathematical, and physical succe...
Torjusen Marius Egerhei· Zenodo (CERN European Organi...· 0 citations
A large-scale empirical study of quality assurance (QA) practices in 157 open-source LLM-based agent projects with at least 100 GitHub stars highlights the need to move beyond feature-level testing toward systematic end-to-end validation that ensures agent workflows remain within intended boundaries when interacting wi...
Wu-Yang Dai, Moses Openja, Jiho Shin et al.· 0 citations
C++-Eval: A C++ Evaluation Benchmark for Large Language Models C++-Eval is a comprehensive benchmark for evaluating the C++ code generation capabilities of Large Language Models (LLMs), with a focus on complex memory management and industrial-grade software engineering requirements. Dataset Statistics 200 multi-level C...
LZX-zx-em· Zenodo (CERN European Organi...· 0 citations
The proposed computer vision framework represents a cost-effective advancement in surgical digitisation, enabling accurate instrument tracking using standard video data and supporting future optimisation of orthopaedic surgical practice with significant implications for clinical research.
M. Paraskevaidis, David Alexander Back, Elian Niklas Oudintsov et al.· Surgical Innovation· 0 citations
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It was found that the velocity is positively affected by higher values of porosity and Reynolds number, particularly in the case of wall deformation, while the temperature distribution behaves the opposite way as it is affected by wall injection and suction under higher Reynolds number and porosity conditions.
Shuang Li, Muflih Alhazmi, S. Hilali et al.· SLAS technology· 0 citations
Use case flows are important elements of use case modeling because they support downstream software engineering activities, including requirements analysis, architectural and detailed design, and test case generation. However, constructing them manually is costly and expertise-intensive, while existing automated approa...
Guang-Yu Wang, Bang-Qi Li, Ji Wu et al.· 0 citations
By making failure cheap to locate and correct, this work is a foundation for more trustworthy long-horizon agents that learn from their own mistakes, and a practical path to overseeing increasingly autonomous AI.
Salman Rahman, Y. Kim, Mihir Parmar et al.· 2 citations
This project verified that generating robust and reliable software using agentic AI requires careful practice and human supervision and demonstrated that using agentic AI workflow for software development (with its prompts and skills) can become a specification of the code that leads to cost-effective sustainability of...
Ayesha Shafique, Barton P. Miller, E. Heymann· 0 citations
heteroTests is an R package for heteroscedasticity diagnostics in linear-model workflows. It provides a consistent interface for classical variance diagnostics including White, Breusch-Pagan, Koenker, Goldfeld-Quandt, group-wise variance tests and ARCH-related checks, together with streaming implementations, simulation...
Diogo Ribeiro· Zenodo (CERN European Organi...· 0 citations
Abstract Minimal establishes the complete operational criterion for deleting information while preserving every admissible finite-horizon test and task value, and turns that criterion into exact certificates and executable reductions. More than one hundred independently screened and frozen suites were evaluated under c...
Bsmpx· Zenodo (CERN European Organi...· 0 citations
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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.
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