Results 181 to 190 of about 55,072 (308)

Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study. [PDF]

JMIR Form Res
Hu R, Yang Y, Yang Y, Kong J, Luo J, Yang W, Chen J, Liu J, Zeng H, Zhang L, Liu Z.   +10 more
europepmc   +1 more source

In the Beginning Was the Word: Llm-Var and Llm-Es

Expert Systems with Applications
Daniel Traian Pele, Vlad Bolovaneanu, Min-Bin Lin, Rui Ren, Andrei Theodor Ginavar, Bruno Spilak, Alexandru-Victor Andrei, Filip-Mihai Toma, Stefan Lessmann, Wolfgang Karl Härdle   +9 more
openaire   +1 more source

LLMs can Schedule

The job shop scheduling problem (JSSP) remains a significant hurdle in optimizing production processes. This challenge involves efficiently allocating jobs to a limited number of machines while minimizing factors like total processing time or job delays.
Abgaryan, Henrik, Harutyunyan, Ararat, Cazenave, Tristan   +2 more
core  

Autoreactivity vs autoimmunity: characteristics of autoantigen‐specific CD4 T‐cells in rheumatoid arthritis and health.

Arthritis &Rheumatology, Accepted Article.
Background CD4 T cells specific for citrullinated (cit)‐peptides are key players in RA immunopathogenesis. Characterising these cells and identifying features of healthy and RA‐associated autoreactivity will provide valuable insight into disease mechanisms and form the basis of immune state biomarkers to facilitate the next generation of RA treatments.
James A. Stanway, Daniel Peters, Helen Waller, Jeremy Lakey, Henrique De Paula Lemos, Kristian Williams, Abbie Degnan, Julie Diboll, Abdul Mannan Baru, David Tough, Arthur G. Pratt, Catharien M.U. Hilkens, Amy E. Anderson, John D. Isaacs   +13 more
wiley   +1 more source

Enhancing the quality and trustworthiness of large language model-generated summaries of clinical oncology literature. [PDF]

JAMIA Open
Stenzl A, Rogers E, Ananiadou S, Wang Y, Armstrong AJ, Sboner A, Cacciamani G, Schijvenaars BJA, Ahmed KR, Thomsen H, Wiemken T, Campello A, Sternberg CN.   +12 more
europepmc   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

Anatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Evaluating Source-Based Large Language Models for Preclinical Dermatology Education: Comparative Study. [PDF]

JMIR Form Res
Lin FJ, Cho S.
europepmc   +1 more source

Performance of multimodal large language models on image‐based surgical anatomy, anatomical pathology, and radiology questions

Anatomical Sciences Education, EarlyView.
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley   +1 more source

Robustness is important: Limitations of LLMs for predictions on tabular data. [PDF]

PNAS Nexus
Liu H, Yang M, Adomavicius G.
europepmc   +1 more source

Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Since the recent prosperity of Large Language Models (LLMs), there have been interleaved discussions regarding how to reduce hallucinations from LLM responses, how to increase the factuality of LLMs, and whether Knowledge Graphs (KGs), which store the ...
Dong, Xin Luna, Liu, Yue, Sun, Kai, Xu, Yifan Ethan, Zha, Hanwen   +4 more
core