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3,069 papers
The suitability of traditional machine learning techniques is explored, using the discourse patterns discovered, together with other linguistic elements, as features, for automatically classifying sentence fragments as data constraint descriptions in natural language.
Both Dolphin Imaging and WebCeph provide clinically applicable predictions for most soft tissue parameters, but both tools showed a significant discrepancy in the nasolabial angle versus actual results, which should be interpreted with caution.
Family-centered prevention programs improve youth self-regulation, yet intervention effects are heterogeneous, and the mechanisms underlying differential response remain poorly understood. Identifying neural metrics that shape responsiveness to prevention may advance theory and inform program refinement. This study exa...
Systemic isotretinoin treatment was associated with a significant reduction in basal tear secretion, and CT was significantly greater in the treated group at a conventional significance threshold, with a positive correlation to cumulative drug exposure, although neither finding survived correction for multiple comparis...
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A pipeline to discover professional profiles of software developers from job posts published on Telegram shows that about a fifth of the corpus forms clusters built around posting format rather than occupational content.
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23446298. Summary. The authors test five instruction categories for an AGENTS.md file (Table I) on five small Python libraries (Table II), using Gemma 4-26B-A4B and GPT-5.4. They co...
Abstract Rapid urbanization and climate change have become serious challenges for urban environments in the 21st century. These challenges have led to environmental degradation and reduced quality of urban life, and have increased the need to pay attention to sustainable design. In this regard, geomorphology, as a scie...
Rapid deployment of autonomous software in enterprise environments has raised serious security concerns regarding data integrity and system transparency. While blockchain provides decentralized protection, combining it with explainable AI to secure autonomous decisions remains understudied. This paper introduces BC-XAI...
ACTE(Adversarial Case-Theory Engine)是论文《应对程序失权风险的诉讼智能体护栏设计与实现》的算法本体。它在同一条流水线上处理三个问题:哪些动作不可实施、在允许的动作中选取哪一个、以及主张是否具备事实、规范与证据三类支撑。 范围说明:评测任务集、金标准、消融配置与逐臂实验读数不在本归档内,另行归档备查。本归档只覆盖算法本体与不...
CB-SEM and CFA Step by Step: Confirmatory factor analysis, model fit, structural models, mediation and moderation with free software Author: Bibin XavierPublisher / imprint: FreeStatisticalTools.comLanguage: EnglishPrice: Free (0)Edition: complete edition, and free starter edition (first 4 chapters)Recommended licence...
This repository provides the analysis code, processed data, and model-ready inputs supporting the study “Weight-based estimation of juice extraction rate and cumulative juice mass using artificial intelligence.”The study evaluates six regression models—Gradient Boosting, CNN, LSTM, and adaptations of PatchTST, iTransfo...
PLS-SEM Step by Step: Measurement and structural models, mediation, moderation, IPMA, cIPMA and fsQCA with free software Author: Bibin XavierPublisher / imprint: FreeStatisticalTools.comLanguage: EnglishPrice: Free (0)Edition: complete edition, and free starter edition (first 5 chapters)Recommended licence for open rep...
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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.
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…
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