Results 191 to 200 of about 386,731 (264)
Fundamental safety-capability trade-offs in fine-tuning large language models. [PDF]
Chen PY, Shen H, Das P, Chen T.
europepmc +1 more source
Magnesium‐Based Transient Bioelectronics, Bio‐Optics and Bio‐Scaffolds
This paper reviews the state of the art and recent advances in magnesium‐based thin‐film, foils, and scaffolds for applications in transient bio‐optics, bioelectronics and tissue engineering. The design principles, fabrication methods, material properties, and integration strategies are discussed in detail.
Massimo Mariello, Yves Leterrier
wiley +1 more source
Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study. [PDF]
Hu R +10 more
europepmc +1 more source
Correlated Metal LaNiO3 as a p‐Type Transparent Conductor
p‐type transparent conducting oxides are needed to enable superstrate solar cell geometries with n‐type absorbers. The p‐type correlated metal LaNiO3 combines high optical transmission with low electrical resistivity and is compatible with a range of scalable deposition processes.
Shivang Beniwal +8 more
wiley +1 more source
Evaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: Comparative Study With Weighted Soft Matching. [PDF]
Tsukiji Y +4 more
europepmc +1 more source
A novel oil–water selective conformance control agent, MPRP, is prepared via hydrophilic grafting and mechanical granulation. MPRP uniformly disperses in water, cohesively expands upon aging, and readily dissolves in the oil phase. During conformance control, it selectively aggregates in water channeling pathways to form effective plugs without ...
Guang Zhao +6 more
wiley +1 more source
Teaching AI to handle exceptions: Supervised fine-tuning with human-aligned judgment. [PDF]
DosSantos DiSorbo M, Ju H, Aral S.
europepmc +1 more source
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo +4 more
wiley +1 more source
An Empirical Study of Dataset Size Effects on Fine-Tuning Depth in Transfer Learning for Chest X-ray Classification. [PDF]
Dias Will A, Sarkodie J.
europepmc +1 more source

