Results 41 to 50 of about 22,074,380 (291)

Conformer LLMs -- Convolution Augmented Large Language Models

CoRR, 2023
6 pages, 1 ...
openaire   +3 more sources

Insufficient reporting quality in large language model studies in the field of radiology

Insights into Imaging
Objectives Our systematic review aimed to evaluate the quality of reporting in research articles involving LLMs in the radiology field. Materials and methods After searching the PubMed-MEDLINE and EMBASE databases, a total of 246 eligible studies ...
Pae Sun Suh, So Yeong Jeong, Daiju Ueda, Woo Hyun Shim, Hwon Heo, Chang-Yun Woo, Hyungjun Park, Chong Hyun Suh   +7 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

The open-source advantage in large language models (LLMs)

AI and Ethics
9 pages, 1 ...
Jiya Manchanda, Laura Boettcher, Matheus Westphalen, Jasser Jasser   +3 more
openaire   +2 more sources

End-to-End Adaptation of LLMs for Low-Resource Languages

IEEE Access
While Large Language Models (LLMs) have revolutionized information processing, their benefits are disproportionately skewed toward high-resource languages, leaving languages like Sinhala behind.
P. K. Udith I. Sandaruwan, Nimesh M. A. Fonseka, Pamith C. Salwathura, Don Sanjeewa Alwis, Chathura Wanigasekara, Logeeshan Velmanickam   +5 more
doaj   +1 more source

Large Language Model (LLM) untuk Rekomendasi Parfum

Penelitian ini bertujuan mengembangkan sistem rekomendasi parfum berbasis deskripsi teks menggunakan pendekatan Large Language Model (LLM). Sistem ini memanfaatkan model Sentence Transformer (all-MiniLM-L6-v2) untuk menghasilkan representasi semantik ...
Herlambang, Gustian
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A Novel Multimodal Hierarchical Large Language Model for Enhancing Image and Text Sequence Recommendations in Item and User Modeling

Big Data and Cognitive Computing
Existing e-commerce recommender systems, like graph-based retrieval and user behavior-driven Collaborative Filtering, usually take either textual or visual features for item recommendations to users.
Wen-Long Dong, Richard Tai-Chiu Hsung, Harris Sik-Ho Tsang, Tony Yulin Zhu, Wai-Lun Lo   +4 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

TriP-LLM: A Tri-Branch Patch-Wise Large Language Model Framework for Time-Series Anomaly Detection

IEEE Access
Time-series anomaly detection plays a central role across a wide range of application domains. With the increasing proliferation of the Internet of Things (IoT) and smart manufacturing, time-series data has dramatically increased in both scale and ...
Yuan-Cheng Yu, Yen-Chieh Ouyang, Chun-An Lin   +2 more
doaj   +1 more source