Results 1 to 10 of about 22,635,901 (285)

Large language model use in clinical oncology

npj Precision Oncology
Large language models (LLMs) are undergoing intensive research for various healthcare domains. This systematic review and meta-analysis assesses current applications, methodologies, and the performance of LLMs in clinical oncology.
Nicolas Carl, Franziska Schramm, Sarah Haggenmüller, Jakob Nikolas Kather, Martin J. Hetz, Christoph Wies, Maurice Stephan Michel, Frederik Wessels, Titus J. Brinker   +8 more
doaj   +1 more source

Designing a large language model for chemists

Patterns
In a recent issue of Cell Reports Physical Science, Zhao et al. introduced ChemDFM, a foundational large language model designed specifically for chemistry.
Xiaoyi Chen, Haixu Tang
doaj   +1 more source

Phase transitions in large language model compression

npj Artificial Intelligence
This perspective argues that Large Language Models exhibit Model Phase Transitions: performance collapses beyond critical compression thresholds. We analyze structural, numerical, and algebraic redundancy across pruning, quantization, and low-rank ...
Ziyang Ma, Zuchao Li, Lefei Zhang, Gui-Song Xia, Bo Du, Liangpei Zhang, Dacheng Tao   +6 more
doaj   +1 more source

Coherent Interpretation of Entire Visual Field Test Reports Using a Multimodal Large Language Model (ChatGPT)

Vision
This study assesses the accuracy and consistency of a commercially available large language model (LLM) in extracting and interpreting sensitivity and reliability data from entire visual field (VF) test reports for the evaluation of glaucomatous defects.
Jeremy C. K. Tan
doaj   +1 more source

Classification and solution of large language model hallucination [PDF]

ITM Web of Conferences
Large language models (LLMs) offer significant benefits across various fields, enhancing research efficiency and innovation. However, a critical challenge is their tendency to produce “hallucinations”—content that appears fluent and reasonable but is ...
Zhang Ruoxi
doaj   +1 more source

Preferences of Chinese Dermatologists for Large Language Model Responses in Clinical Psoriasis Scenarios: A Nationwide Cross‐Sectional Survey in China

Health Care Science
Background Large language models (LLMs) have shown considerable promise in supporting clinical decision‐making. However, their adoption and evaluation in dermatology remains limited.
Jungang Yang, Jingkai Xu, Xuejiao Song, Chengxu Li, Lili Chen, Lingbo Bi, Tingting Jiang, Xianbo Zuo, Yong Cui   +8 more
doaj   +1 more source

Mirroring Cultural Dominance: Disclosing Large Language Models Social Values, Attitudes and Stereotypes

Societies
The paper aims to address large language models’ (LLMs) cultural bias using the World Value Survey Wave 7 (WVS) questionnaire on social values, attitudes, and stereotypes.
Kristian Dokic, Barbara Pisker, Bojan Radisic   +2 more
doaj   +1 more source

Supporting Rule-Based Control with a Natural Language Model

Engineering Proceedings
The usage of Artificial Intelligence (AI) in control loops and rule-based frameworks is a novel approach in automation and decision-making processes. Large Language Models (LLMs) are redefining conventional rule-based systems by introducing intuitive ...
Martin Kernács, Olivér Hornyák
doaj   +1 more source

Investigating Human-Aligned Large Language Model Uncertainty

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Recent work has sought to quantify large language model uncertainty to facilitate model control and modulate user trust. Previous works focus on measures of uncertainty that are theoretically grounded or reflect the average overt behavior of the model ...
Kyle Moore, Jesse Roberts, Daryl Watson, Pamela Wisniewski   +3 more
doaj  

Symbolic learning enables self-evolving agents

AI Open
The AI community has been exploring a pathway to artificial general intelligence (AGI) by developing “language agents”, which are complex large language models (LLMs) workflows involving both prompting techniques and tool usage methods.
Yixin Ou, Wangchunshu Zhou, Shengwei Ding, Long Li, Jialong Wu, Tiannan Wang, Jiamin Chen, Shuai Wang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang   +11 more
doaj   +1 more source