Large language models for generative information extraction: A survey

D Xu, W Chen, W Peng, C Zhang, T Xu, X Zhao… - Frontiers of Computer …, 2024 - Springer
Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …

Large language models on tabular data--a survey

X Fang, W Xu, F Anting Tan, J Zhang, Z Hu… - arXiv e …, 2024 - ui.adsabs.harvard.edu
Recent breakthroughs in large language modeling have facilitated rigorous exploration of
their application in diverse tasks related to tabular data modeling, such as prediction, tabular …

ChatGPT for education research: exploring the potential of large language models for qualitative codebook development

A Barany, N Nasiar, C Porter, AF Zambrano… - … conference on artificial …, 2024 - Springer
In qualitative data analysis, codebooks offer a systematic framework for establishing shared
interpretations of themes and patterns. While the utility of codebooks is well-established in …

GeoLLM: A specialized large language model framework for intelligent geotechnical design

HR Xu, N Zhang, ZY Yin, PGA Njock - Computers and Geotechnics, 2025 - Elsevier
Large language models (LLMs) have achieved remarkable success in various industrial and
research fields, enhancing work efficiency by assisting machines in comprehending human …

Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era

WY Wang, S Zhang, G Li, J Lu, Y Ren… - Materials Genome …, 2024 - Wiley Online Library
Abstract Future‐oriented Science & Technology (S&T) Strategies trigger the innovative
developments of advanced materials, providing an envision to the significant progress of …

Cebench: A benchmarking toolkit for the cost-effectiveness of llm pipelines

W Sun, J Wang, Q Guo, Z Li, W Wang, R Hai - arXiv preprint arXiv …, 2024 - arxiv.org
Online Large Language Model (LLM) services such as ChatGPT and Claude 3 have
transformed business operations and academic research by effortlessly enabling new …

A glossary of terms in artificial intelligence for healthcare

SSS Rana, JS Ghahremani, JJ Woo, RA Navarro… - … : The Journal of …, 2024 - Elsevier
In recent decades, artificial intelligence (AI) has infiltrated a variety of domains, including
media, education, and medicine. There exists no glossary, lexicon, or reference for the …

SpiderScan: Practical Detection of Malicious NPM Packages Based on Graph-Based Behavior Modeling and Matching

Y Huang, R Wang, W Zheng, Z Zhou, S Wu… - Proceedings of the 39th …, 2024 - dl.acm.org
Open source software (OSS) supply chains have been attractive targets for attacks. One of
the significant, popular attacks is realized by malicious packages on package registries …

[HTML][HTML] Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task …

A Al-Dokhny, O Alismaiel, S Youssif, N Nasr, A Drwish… - Sustainability, 2024 - mdpi.com
The current study highlights the potential of multimodal large language models (MLLMs) to
transform higher education by identifying key factors influencing their acceptance and …

Concise thoughts: Impact of output length on llm reasoning and cost

S Nayab, G Rossolini, G Buttazzo, N Manes… - arXiv preprint arXiv …, 2024 - arxiv.org
Today's large language models (LLMs) can solve challenging question-answering tasks,
and prompt engineering techniques, such as chain-of-thought (CoT), have gained attention …