Category
3,195 papers
Objective Large language models (LLMs) have emerged as a novel technical solution for intelligent prescription review. Nevertheless, comparative analyses of their performance remain limited. This study comprehensively evaluates five mainstream LLMs (ChatGPT, DeepSeek, Kimi, Qwen and Doubao) in prescription review, aimi...
The objective of this research is to examine the association among three central antecedents of dynamic capabilities (DC): entrepreneurial orientation (EO), technology orientation (TO) and sustainability orientation (SO) and their effect on sustainable business performance (SBP). The data were obtained from...
Copings fabricated from dies scanned using IOS demonstrated significantly lower vertical marginal discrepancies compared to those scanned using the laboratory scanner, however, the marginal gaps observed in both groups were within clinically acceptable limits.
Background: Sports betting is one of the most popular, rapidly evolving, and attractive forms of gambling. It is associated with an increased risk of gambling-related harms, including relationship difficulties, crime, and physical and mental health problems. Understanding the subjective experiences of sports betting is...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Several strong solar resonance lines show observable linear scattering polarization signals, holding a great potential for investigating the magnetism of the outer solar atmosphere. Accurately modeling these signals requires consideration of the detailed 3D structure of the solar atmosphere and accounting for partial f...
Numerous publications and technical papers have investigated thermal interface materials (TIMs) and the optimized use of TIMs and heat sinks for thermal management in integrated circuit (IC). Several of these studies employ scanning acoustic microscopy (SAM), which is widely recognized as a highly effective, non-dest...
Conventional dynamic laser stimulation (DLS) relies on binary pass/fail detection and sequential single-parameter analysis, which limits sensitivity, efficiency, and robustness when applied to analog soft failures. This paper presents Parametric Laser Mapping (PLM), a boundary-free fault isolation technique that cont...
This article presents an analysis of the empirical results of the initial stage of scientific research carried out to identify the structural components and predictors of students' social giftedness. The main goal of the study is to identify the predictors of students' social giftedness. Students from state and non-sta...
The HPC site profile is proposed, a structured, evidence-backed document that preflights a workflow into an execution plan or an early, explainable failure and is presented as a case study of preflighting a real workflow.
FaultScape is a novel LLM-based framework for project-scale, statement-level FL that formulates FL as a multi-view semantic learning and reasoning problem and shows that combining multi-view fault semantics with contrastive, failure-guided reasoning substantially improves the effectiveness and robustness of statement-l...
Quantum computing platforms are susceptible to quantum-specific bugs, such as incorrectly ordering qubits or incorrectly implementing quantum abstractions. These bugs are difficult to detect and require specialized expertise. The field faces challenges due to a fragmented landscape of platforms and rapid development cy...
AnaDroid is proposed, a novel LLM training framework specifically tailored for analyzing failed mobile tests that first leverages bidirectional pre-training to instill the domain-specific knowledge and reasoning capabilities required for failed test analysis into the model and employs preference optimization to enhance...
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.
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.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
