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2,653 papers
It is demonstrated that REVOLVE transforms real-world deployment into a closed-loop learning process that continually accumulates and uses execution experience, enabling continual evolution of both the policy and supervisory model with substantially less human intervention.
LLMSuite is proposed, a hybrid test generation framework that integrates self-refinement prompting with class-level LLM reasoning into the search-based testing process and complements manually written test suites by exercising domain-specific behaviors that are often left untested.
MatLAB-based software models of the matrix multipliers are developed for each architecture and validated for bit-level reproducibility against hardware using a randomized test suite consisting of 10 million sets of random input vectors.
This study aims to determine the influence of Domestic Direct Investment (DDI) and Foreign Direct Investment (FDI) on Poverty through the labor force participation rate (LFPR) in districts/cities of East Kalimantan Province. This study uses a quantitative approach. The data used are secondary data obtained through publ...
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The deterministic machine-learning method for denoising candidate signals from all-sky searches for continuous gravitational waves from rotating neutron stars recovers the correct sky-position-dependent pattern for signal-to-noise ratios, demonstrating that deterministic diffusion-based denoising may serve as a consist...
It is shown that the best-performing compilation strategy varies across the tested circuits and network configurations, and that both network topology and intra-QPU connectivity substantially affect the entanglement cost of execution.
It is concluded that autonomous APR agents cannot be trusted yet in production deployment, given their susceptibility to adversarial attacks.
These findings provide an empirical characterization of recurring security patterns across the open-source onboard satellite software ecosystem, helping quantify their prevalence and prioritize areas that warrant the greatest security attention.
This paper explores how to apply formal verification to artificial organs, stage by stage, and what each technique actually guarantees about the device.
A benchmark that tests the ability of agentic video understanding by asking agents to reconstruct real-world videos as animated Blender scenes, and shows that programmatic reconstruction is a viable test of agentic video understanding, and that semantic retention remains the main challenge.
We have systematically studied the effects of solvents such as benzene, toluene, isooctane, and cyclooctane on the selective separation of four heavy oil components (saturates, aromatics, resins, asphaltenes), aiming to clarify the molecular mechanism of solvent extraction as an oil–solid separation method in heavy o...
This study investigated the impact of a blended learning strategy on secondary school students' interest and cognitive performance in Geography within the Dutsin-Ma Educational Quality Assurance Zone, Katsina State. A quasi-experimental research design using a pre-test, post-test non-equivalent control group approach w...
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
We’re launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage.
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