Results 91 to 100 of about 63,129 (302)
On Cost-Effectiveness of Language Models for Time Series Anomaly Detection
InformationDetecting anomalies in time series data is crucial across several domains, including healthcare, finance, and automotive. Large Language Models (LLMs) have recently shown promising results by leveraging robust model pretraining. However, fine-tuning LLMs
Ali Yassine, Luca Cagliero, Luca Vassio
doaj +1 more source
Farmers’ Protests in Germany: Media Coverage and Types of Bias
Agribusiness, EarlyView.ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges
IEEE AccessLarge Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries.
Minghao Shao +3 more
doaj +1 more source
Psychometric Predictive Power of Large Language Models
, 2023 Next-word probabilities from language models have been shown to successfully simulate human reading behavior. Building on this, we show that, interestingly, instruction-tuned large language models (LLMs) yield worse psychometric predictive power (PPP ...
Baldwin, Timothy +2 more
core
Do Large Language Models (LLMs) Understand Chronology?
Large language models (LLMs) are increasingly used in finance and economics, where prompt-based attempts against look-ahead bias implicitly assume that models understand chronology. We test this fundamental question with a series of chronological ordering tasks with increasing complexities over facts the model already knows from pre-training. Our tasks
Wongchamcharoen, Pattaraphon Kenny +1 more
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Opportunities and Challenges of Big Models in Middle School Mathematics Teaching
Engineering ProceedingsThe influence of large language models (LLMs) has permeated education, too. We explored the opportunities and challenges of LLMs in mathematics teaching. In mathematics education, the generative nature of LLMs is appropriate for teachers as it enables an
Yuyang Sun, Jiancheng Zou
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Ce‐LLMs: Status and trends of education‐specific large language models developed in China
Future in Educational ResearchThe prevalence of AI hallucination in general‐purpose large language models (LLMs) poses significant pedagogical challenges, particularly in terms of content credibility and reliability.
Tao Xie, Yingli Zhou, Jiazhen Yu
doaj +1 more source
Road of Large Language Model: Source, Challenge, and Future Perspectives
ResearchLanguage model (LM), a foundational algorithm in the development of capable artificial intelligence, has been widely explored, achieving remarkable attainment.
Wei Zhao +4 more
doaj +1 more source