Results 111 to 120 of about 6,156,320 (380)

A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

Information Fusion
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation, introducing transformative paradigms for integrating artificial intelligence into medicine.
Hanguang Xiao, Feizhong Zhou, Xingyue Liu, Tianqi Liu, Zhipeng Li, Xin Liu, Xiaoxuan Huang   +6 more
openaire   +2 more sources

Blockchain Large Language Models

, 2023
This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions. The proposed tool, BlockGPT, generates tracing representations of blockchain activity and trains from scratch a large language model to act as a real-time Intrusion Detection System. Unlike traditional methods, BlockGPT is designed to offer an unrestricted
Gai, Yu, Zhou, Liyi, Qin, Kaihua, Song, Dawn, Gervais, Arthur   +4 more
openaire   +2 more sources

Large Language Models are not Models of Natural Language: they are Corpus Models [PDF]

arXiv, 2021
Natural Language Processing (NLP) has become one of the leading application areas in the current Artificial Intelligence boom. Transfer learning has enabled large deep learning neural networks trained on the language modeling task to vastly improve performance in almost all downstream language tasks.
arxiv  

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Dissociating language and thought in large language models

Trends in Cognitive Sciences
The two lead authors contributed equally to this work; published in "Trends in Cognnitive Sciences", March ...
Mahowald, Kyle, Ivanova, Anna A., Blank, Idan A., Kanwisher, Nancy, Tenenbaum, Joshua B., Fedorenko, Evelina   +5 more
openaire   +3 more sources

BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages [PDF]

arXiv, 2023
Large language models (LLMs) demonstrate promising translation performance among various natural languages. However, many LLMs especially the open-sourced ones, such as BLOOM and LLaMA, are English-dominant and support only dozens of natural languages, making the potential of LLMs on language translation less explored.
arxiv  

Verbal lie detection using Large Language Models

Scientific Reports, 2023
Human accuracy in detecting deception with intuitive judgments has been proven to not go above the chance level. Therefore, several automatized verbal lie detection techniques employing Machine Learning and Transformer models have been developed to reach
Riccardo Loconte, Roberto Russo, Pasquale Capuozzo, Pietro Pietrini, Giuseppe Sartori   +4 more
doaj   +1 more source

Representation in large language models [PDF]

The extraordinary success of recent Large Language Models (LLMs) on a diverse array of tasks has led to an explosion of scientific and philosophical theorizing aimed at explaining how they do what they do. Unfortunately, disagreement over fundamental theoretical issues has led to stalemate, with entrenched camps of LLM optimists and pessimists often ...
openaire   +2 more sources

The Large Language Model GreekLegalRoBERTa

Proceedings of the 13th Hellenic Conference on Artificial Intelligence
We develop four versions of GreekLegalRoBERTa, which are four large language models trained on Greek legal and nonlegal text. We show that our models surpass the performance of GreekLegalBERT, Greek- LegalBERT-v2, and GreekBERT in two tasks involving Greek legal documents: named entity recognition and multi-class legal topic classification. We view our
Vasileios Saketos, Despina-Athanasia Pantazi, Manolis Koubarakis   +2 more
openaire   +2 more sources

Automatic skin flash optimization in breast and chestwall VMAT with static angle modulated ports: Effect of HU and flash margin size on plan quality and robustness

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Skin flash is typically added to breast and chestwall plans to ensure robust target coverage in the presence of respiratory motion, anatomic changes, and small setup uncertainties. Adding skin flash in volumetric modulated arc therapy (VMAT) plans is an iterative and manual process.
Emily Hubley, Brandon Koger, Taoran Li, Michael Salerno, Ryan M. Scheuermann, Lei Dong, Boon‐Keng Kevin Teo   +6 more
wiley   +1 more source