Results 71 to 80 of about 22,074,380 (291)

Movie Visual and Speech Analysis Through Multi-Modal LLM for Recommendation Systems

IEEE Access
Understanding speech as a component of broader video comprehension within audio-visual large language models remains a critical yet underexplored area.
Peixuan Qi
doaj   +1 more source

PTCR: Knowledge-Based Visual Question Answering Framework Based on Large Language Model [PDF]

Jisuanji kexue yu tansuo
Aiming at the problems of insufficient model input information and poor reasoning performance in knowledge-based visual question answering (VQA), this paper constructs a PTCR knowledge-based VQA framework based on large language model (LLM), which ...
XUE Di, LI Xin, LIU Mingshuai
doaj   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Using LLMs for Pre-Annotation of Emotional Manipulation Techniques in a Low-Resource Language Corpus: Are We There Yet?

Applied Sciences
This paper examines whether incremental prompt engineering can enable reliable large language model (LLM)-based pre-annotation of corpus texts in a low-resource language setting.
Rita Butkienė, Algirdas Šukys, Edgaras Dambrauskas, Voldemaras Žitkus, Linas Ablonskis, Evaldas Vaičiukynas, Paulius Danėnas, Rimantas Butleris   +7 more
doaj   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

LLM-Select: Feature Selection with Large Language Models

Trans. Mach. Learn. Res.
In this paper, we demonstrate a surprising capability of large language models (LLMs): given only input feature names and a description of a prediction task, they are capable of selecting the most predictive features, with performance rivaling the standard tools of data science.
Daniel P. Jeong, Zachary C. Lipton, Pradeep Ravikumar   +2 more
openaire   +4 more sources

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Large Language Models (LLMs): Deployment, Tokenomics and Sustainability

CoRR
The rapid advancement of Large Language Models (LLMs) has significantly impacted human-computer interaction, epitomized by the release of GPT-4o, which introduced comprehensive multi-modality capabilities. In this paper, we first explored the deployment strategies, economic considerations, and sustainability challenges associated with the state-of-the ...
Haiwei Dong 0001, Shuang Xie
openaire   +3 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Application, Challenges, and Prospects of Large Language Model in the Field of Traditional Chinese Medicine

Xiehe Yixue Zazhi
With the rapid development of the interdisciplinary area of artificial intelligence and medicine, large language model (LLM) has been widely used in the fields such as diagnosis and treatment, medicine, and healthcare.
CHEN Zijia, PENG Wenxi, ZHANG Dezheng, LIU Xin, WANG Zhifei   +4 more
doaj   +1 more source