Results 101 to 110 of about 515,234 (309)

Extracting Domain Models from Textual Requirements in the Era of Large Language Models [PDF]

, 2023
Requirements Engineering is a critical part of the software lifecycle, describing what a given piece of software will do (functional) and how it will do it (non-functional).
Mosser, Sébastien, Meurs, Marie-Jean, Arulmohan, Sathurshan   +2 more
core  

Uncertainty quantification by large language models

Machine Learning with Applications
As reasoning capabilities of large language models (LLMs) continue to advance, they are being integrated into increasingly complex scientific workflows, with the goal of developing agents capable of generating evidence-based explanations and testing ...
Dorianis M. Perez, Bryan E. Kaiser, Ismael Boureima   +2 more
doaj   +1 more source

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Ensemble Large Language Models: A Survey

Information
Large language models (LLMs) have transformed the field of natural language processing (NLP), achieving state-of-the-art performance in tasks such as translation, summarization, and reasoning.
Ibomoiye Domor Mienye, Theo G. Swart
doaj   +1 more source

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

FEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata, Yoichi Sakai, Keisuke Tanaka, Etsuro Yoshimura, Ken Kitano, Morio Ishikawa, Tadahiro Nakamoto, Tsutomu Takayama, Hirofumi Inoue, Kaho Nomura, Tomonori Suzuki, Masataka Uchino, Akira Abe, Youichi Niimura   +13 more
wiley   +1 more source

Teaching Astronomy with Large Language Models

The Open Journal of Astrophysics
We present a study of LLM integration in final-year undergraduate astronomy education, examining how students develop AI literacy through structured guidance and documentation requirements.
Yuan-Sen Ting, Teaghan O'Briain
doaj   +1 more source

Large language models in critical care

Journal of Intensive Medicine
The advent of chat generative pre-trained transformer (ChatGPT) and large language models (LLMs) has revolutionized natural language processing (NLP).
Laurens A. Biesheuvel, Jessica D. Workum, Merijn Reuland, Michel E. van Genderen, Patrick Thoral, Dave Dongelmans, Paul Elbers   +6 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Delusions of Large Language Models

CoRR
Large Language Models often generate factually incorrect but plausible outputs, known as hallucinations. We identify a more insidious phenomenon, LLM delusion, defined as high belief hallucinations, incorrect outputs with abnormally high confidence, making them harder to detect and mitigate.
Hongshen Xu, Zixv yang, Zichen Zhu, Kunyao Lan, Zihan Wang, Mengyue Wu, Ziwei Ji 0001, Lu Chen 0002, Pascale Fung, Kai Yu 0004   +9 more
openaire   +2 more sources

Large Language Models for Inorganic Synthesis Predictions

We evaluate the effectiveness of pre-trained and fine-tuned large language models (LLMs) for predicting the synthesizability of inorganic compounds and the selection of precursors needed to perform inorganic synthesis.
Joshua, Schrier, Seongmin, Kim, Yousung, Jung   +2 more
core   +1 more source