Results 111 to 120 of about 89,825 (246)

Promoting problem-solving skills in computer programming with an LLM-empowered multi-agent system: A cognitive apprenticeship perspective

Educational Technology & Society
To address the limitations of large language models in fostering problem-solving skills in programming, this paper proposes an LLM-empowered multi-agent system grounded in a theoretical framework that integrates cognitive apprenticeship with the Use ...
Xiaochun Wang, Jingze Li, Qirui Gu and Deming Liang
doaj   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

On the Use of Large Language Models for Improving Student and Staff Experience in Higher Education

Open Education Studies
Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption.
O’Neill Sam, Mulgrew David, Bagdasar Ovidiu   +2 more
doaj   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

Research and outlook on techniques for improving the quality of substation monitoring data

Zhejiang dianli
With the advancement of digitalization and intelligence in substation protection and monitoring systems， the volume of multi-source heterogeneous data generated by secondary systems has increased sharply， with continuously rising dimensionality. This has
ZHENG Xiang, CHEN Shaoyu, WU Jiayi, ZHANG Yikang, ZHANG Min, YU Yiting, XUE Ancheng   +6 more
doaj   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source

Retrieval-Augmented Generation vs. Baseline LLMs: A Multi-Metric Evaluation for Knowledge-Intensive Content

Information
(1) Background: The development of Generative Artificial Intelligence (GenAI) is transforming knowledge-intensive domains such as Education. However, Large Language Models (LLMs), which serve as the foundational components for GenAI tools, are trained on
Aparna Vinayan Kozhipuram, Samar Shailendra, Rajan Kadel   +2 more
doaj   +1 more source

Trustworthy and Efficient LLMs Meet Databases

In the rapidly evolving AI era with large language models (LLMs) at the core, making LLMs more trustworthy and efficient, especially in output generation (inference), has gained significant attention. This is to reduce plausible but faulty LLM outputs (a.
Kim, Kyoung-Min, Ailamaki, Anastasia
core   +1 more source

µSlicer for Programmable Multimaterial 3D Printing

Advanced Science, EarlyView.
ABSTRACT Nature rarely builds with uniform materials; instead, it achieves exceptional performance by arranging composition and structure across multiple length scales. Mimicking such architectures has become increasingly feasible with additive manufacturing, and especially with multimaterial 3D printing, where complex structures with spatially varying
Daniel H. Meile, Berin Šeta, Md. Tusher Mollah, Yohan Jacquet, Rob Wolfs, Jon Spangenberg   +5 more
wiley   +1 more source

Evaluating research quality with Large Language Models: An analysis of ChatGPT’s effectiveness with different settings and inputs

Journal of Data and Information Science
Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises, appointments and promotion.
Thelwall Mike
doaj   +1 more source