A chatbot for a thought: the flower of evil has bloomed (60 Years Later) [PDF]
This article examines the implications of recent advancements in Large Language Models (LLMs) through the lens of Marshall McLuhan's seminal work Understanding Media.
Granata, Paolo
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On Cost-Effectiveness of Language Models for Time Series Anomaly Detection
Detecting 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
Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges
Large 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
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Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs [PDF]
Large Language Models (LLMs), e.g., ChatGPT, PaLM, and LLaMA are transforming natural language processing (NLP) and artificial intelligence (AI). Recent LLMs browse Web knowledge and learn from external knowledge bases, unifying LLMs and knowledge graphs
Chen, Xi, Khan, Arijit, Wu, Tianxing
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Introduction to Large Language Models (LLMs) for dementia care and research
IntroductionDementia is a progressive neurodegenerative disorder that affects cognitive abilities including memory, reasoning, and communication skills, leading to gradual decline in daily activities and social engagement.
Matthias S. Treder +3 more
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On the Limitations of Large Language Models (LLMs): False Attribution
This paper was accepted for presentation by Recent Advances in NLP (RANLP) 2025 ...
Tosin P. Adewumi +3 more
openaire +2 more sources
Chinese semantic obfuscation blackbox jailbreak for domestic large models
Jailbreak attacks represent a significant security threat to large language models (LLMs). Current research on jailbreak vulnerability mining primarily focuses on foreign LLMs operating within an English language environment.
Xinxin Yue +5 more
doaj +1 more source
Large language models: an overview of foundational architectures, recent trends, and a new taxonomy
Since the introduction of foundational models such as Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformers (GPT), there has been rapid evolution in both the scale and application of large language models (
Ibomoiye Domor Mienye +5 more
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Multi-Criteria Evaluation of Large Language Models (LLMs): Balancing Performance and Security
Because of their functionality and practicality, Large Language Models (LLMs) have been widely discussed, with a large number of benchmarks being conducted to evaluate them, especially their efficiency levels. However, despite their numerous applications
Daniel Mendonca Colares +2 more
doaj +1 more source
Parallelization of irregularly coupled regular meshes [PDF]
Regular meshes are frequently used for modeling physical phenomena on both serial and parallel computers. One advantage of regular meshes is that efficient discretization schemes can be implemented in a straight forward manner.
Chase, Craig +3 more
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