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2,298 papers
Despite the growing potential of generative artificial intelligence (GenAI) to transform language education, empirical evidence on the effectiveness of GenAI feedback in facilitating English as a foreign language (EFL) translation task performance remains limited. Informed by a socio-constructivist perspective that con...
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Supplementary data for the critical review "Artificial Intelligence Methods for Automating Literature Review Workflows," which analyses 191 publications from 2016 to 2025 and maps methods, evaluation practices, and validation maturity across seven literature-review workflow phases. This deposit contains the complete st...
Engineering design for oil and gas facilities remains labor‑intensive, particularly in the production of Computer Aided Design (CAD) deliverables such as Piping and Instrumentation Diagrams (P&IDs), isometrics, and 3D pipe routing. Advances in AI and learning‑based generative/optimization methods, now enable partial...
Results demonstrate that the agent successfully identifies multiple concurrent root causes, produces actionable maintenance steps, and generalizes to synthetic failures, establishing a scalable, explainable framework for intelligent industrial maintenance.
Many studies assess how generative AI (GenAI) affects student learning through benchmarks such as tests, scores, and self-reports. This outcome-focused approach casts GenAI as either a shortcut to replace thinking or a tutor to support learning, overlooking how interaction reshapes students' cognitive activity as they...
Now generative AI's speech synthesis has become widely used, so the law is no longer regarded as having the nature of human voice. Sound is data that can be extracted, saved and traded. In China, disputes arising from unauthorized reproduction of sound are increasing year by year. Nowadays, Civil Code uses similar rule...
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.
GPT-Lab
· gpt-lab.eu
Oct 12, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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