Results 81 to 90 of about 22,074,380 (291)

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

A2C-LLM: An Actor-Critic-Enhanced Large Language Model for UAV Swarm Multi-Target Task Allocation

Drones
In UAV swarm adversarial applications, multi-agent task allocation requires high-level reasoning and accurate decision-making in dynamic environments. Although large language models (LLMs) have shown strong performance in zero-shot reasoning, they cannot
Jie Bao, Yuping Zhang, Ronghao Zhang, Peng Zhang   +3 more
doaj   +1 more source

Innovations in Code Testing Automation through Large Language Models (LLM)

openQuesta tesi esplora l'uso dei Large Language Models (LLM) per automatizzare i test di codice. Attraverso esperimenti e studi di caso, si valuta l'efficacia di questa tecnica, evidenziando il suo potenziale nel migliorare l'efficienza e l'accuratezza ...
DE LAURENTIS, ARIANNA PIA
core  

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Temporal evolution of large language models (LLMs) in oncology

Journal of Translational Medicine
Large language models (LLMs) are increasingly being applied in healthcare; however, their performance in specialized fields, such as oncology, is subject to temporal factors, including knowledge decay and concept drift. The impact of these temporal dynamics on LLM question-answering accuracy in oncology remains inadequately evaluated.
Zilin Qiu, Aimin Jiang, Chang Qi, Wenyi Gan, Lingxuan Zhu, Weiming Mou, Dongqiang Zeng, Mingjia Xiao, Guangdi Chu, Shengkun Peng, Hank Z. H. Wong, Lin Zhang, Hengguo Zhang, Xinpei Deng, Quan Cheng, Bufu Tang, Yaxuan Wang, Jian Zhang, Anqi Lin, Peng Luo   +19 more
openaire   +2 more sources

Large Language Model (LLM) agents: Applications and security [PDF]

Due to recent advancements in natural language processing, Large Language models have emerged as powerful tools that enable the efficient solving of complex natural language processing tasks.
Kalliomäki, Aleksi
core   +1 more source

Benchmarking cell type and gene set annotation by large language models with AnnDictionary

Nature Communications
We develop an open-source package called AnnDictionary to facilitate the parallel, independent analysis of multiple anndata. AnnDictionary is built on top of LangChain and AnnData and supports all common large language model (LLM) providers ...
George Crowley, Tabula Sapiens Consortium, Stephen R. Quake   +2 more
doaj   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

EasyScan_HEP 2: LLM-agent parameter-scan workflows in high energy physics

European Physical Journal C: Particles and Fields
Large-language-model (LLM) agents are beginning to reshape the preparation and steering of computational workflows in high-energy physics phenomenology.
Yang Xiao, Yuanfang Yue, Yang Zhang
doaj   +1 more source