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3,200 papers
This work leverages large language models to analyze and extract test cases from requirement documents, and constructs an automated test case generation framework by specifying standard input and output values of test samples, test coverage scope, and AI agent roles.
This study aims to analyze the effect of ease of use and trust on purchasing decisions through Shopee PayLater among the people of Danau Sipin District, Jambi City. This research employs a quantitative approach with an associative method. A sample of 100 respondents was selected using a purposive sampling technique bas...
Different open-source SCPs are evaluated using the concept of "OSS health", covering several of the aforementioned characteristics, including an active (aka"healthy") ecosystem, an active (aka"healthy") ecosystem, the availability of installation and user manuals, non-vulnerable and documented code, test batteries, and...
It is argued that local LLM systems need explicit guarantees for prompt lifetime, persistent storage, and tenant isolation, because the surrounding serving software handles prompt data before, during, and after inference.
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The proposed FlowGen uses LLM-based Semantic Information Processing (SIP) to extract semantic elements, constructs a Semantic Relational Graph (SRG) encoded by an enhanced R-GAT for basic flow generation (BFGen), and further supports branch point prediction through BPP and branch-conditioned alternative flow generation...
An incremental learning based framework to detect anomalous traffic patterns which may indicate any key misuse in Software-Defined Networks in dynamic and real-time environments in modern SDN environments is proposed.
Abstract Metal gas arc welding (GMAW) is a widely used welding process known for its efficiency and versatility in joining metals. The quality and efficiency of GMAW depends on the selection and optimization of process parameters. This research aims to select suitable process parameters for welding AISI 1006 steel by m...
The StemCells Protocol Simulator is a privacy-preserving, in-browser tool for epigenetic-age estimation and transparent regenerative-therapy planning. This version accompanies the second software paper, "The Success-Rate Optimizer," which validates the optimizer by directional/construct concordance with the published c...
Numerical experiments accompanying “Orlicz space relaxation of totalvariation denoising” by Christian Clason and Tobias Unterberger. The software compares ROF/total variation regularization, scaledlogarithmic Orlicz regularization, and quadratic H1 regularization.The archive includes the Python implementation, Jupyter...
HealthGraphBench v0.2.0 is a reproducible benchmark for evaluating whether relational informationand learned graph representations provide predictive value beyond strong entity-local and simplerelational baselines in public health and regulatory machine learning. The frozen v0.1.2 core contains FDA MAUDE product/proble...
Version 1.1.0 adds portable analysis and figure/table-generation scripts, input schemas, fixed random-seed protocols and a tested software environment to unchanged derived statistical summaries. Associated manuscript: Uncertainty-aware reanalysis of effective-stress sensitivity in apparent CO2 permeability of NaCl-trea...
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.
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.
A Blog post by IBM Granite on Hugging Face
“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.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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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