Results 41 to 50 of about 22,635,901 (285)

Game of Questions: An automated method for unconventional evaluation of Large Language Models

TASK Quarterly
The rapid advancement of Large Language Models (LLMs) has created a need for methods to evaluate their performance, particularly in assessing their domain-specific knowledge and the ability to apply such knowledge in reasoning tasks.
Przemysław Świat, Łukasz Hein, Marcel Cymanowski   +2 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Enhancing Personalized Fitness: Integrating Large Language Model [PDF]

EPJ Web of Conferences
This paper explores the integration of Large Language Models (LLMs) into workout planning and personal training to meet the growing demand for personalized fitness solutions.
Pardhi Praful R., Wagh Saurabh, Sharma Gaurav, Goyal Abhash, Pawar Pavan   +4 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

A Survey of Large Language Models

CoRR, 2023
Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach, language modeling has been widely studied for language understanding and generation in the past two decades, evolving ...
Wayne Xin Zhao, Kun Zhou 0002, Junyi Li 0001, Tianyi Tang, Xiaolei Wang 0005, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang 0009, Zican Dong, Yifan Du 0002, Chen Yang 0032, Yushuo Chen, Zhipeng Chen 0001, Jinhao Jiang, Ruiyang Ren, Yifan Li 0009, Xinyu Tang 0004, Zikang Liu 0001, Peiyu Liu 0002, Jian-Yun Nie, Ji-Rong Wen   +21 more
openaire   +3 more sources

Evaluation of large language models under different training background in Chinese medical examination: a comparative study

Frontiers in Artificial Intelligence
BackgroundRecently, Large Language Models have shown impressive potential in medical services. However, the aforementioned research primarily discusses the performance of LLMs developed in English within English-speaking medical contexts, ignoring the ...
Siwen Zhang, Qi Chu, Yujun Li, Jialu Liu, Jiayi Wang, Chi Yan, Wenxi Liu, Yizhen Wang, Chengcheng Zhao, Xinyue Zhang, Yuwen Chen   +10 more
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

Large Language Models Are Biased Because They Are Large Language Models

Computational Linguistics
Abstract This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are ...
openaire   +2 more sources

Review of key technologies in knowledge graphs powered by code large language models

大数据
Traditional knowledge graph technologies still face significant challenges in converting human knowledge, expressed in natural language, into a formal language-based knowledge graph and utilizing it effectively.
LI Zixuan, BAI Long, REN Weicheng, SU Miao, LIU Wenxuan, CHEN Lei³, JIN Xiaolong   +6 more
doaj   +2 more sources