copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Knowledge Graphs, Large Language Models, and . . . - ScienceDirect However, they face a significant challenge: hallucinations, where models produce plausible-sounding but factually incorrect responses This undermines trust and limits the applicability of LLMs in different domains
A comprehensive taxonomy of hallucinations in Large Language Models View recent discussion Abstract: Large language models (LLMs) have revolutionized natural language processing, yet their propensity for hallucination, generating plausible but factually incorrect or fabricated content, remains a critical challenge This report provides a comprehensive taxonomy of LLM hallucinations, beginning with a formal definition and a theoretical framework that posits
Detecting Hallucinations in Large Language Model Generation . . . - Springer Concerns regarding the propensity of Large Language Models (LLMs) to produce inaccurate outputs, also known as hallucinations, have escalated Detecting them is vital for ensuring the reliability of applications relying on LLM-generated content
A Survey on Large Language Models with some Insights on their . . . By analyzing these factors, this paper aims to foster the ongoing discussion on the capabilities and limits of LLMs, promoting their responsible development and application in novel and increasingly complex environments
Advancements and Applications of Large Language Models in Natural . . . This comprehensive review explores the development, applications, optimizations, and challenges of LLMs This paper begin by tracing the evolution of these models and their foundational architectures, such as the Transformer, GPT, and BERT
Natural language processing in the era of large language models It has only been recently that, as a consequence of the increase in the availability of text collections and in the access to improved computational resources, large language models (LLMs) have been introduced in the scientific community by revolutionizing the NLP field (Min et al , 2023)
Industrial applications of large language models - Nature This study provides a comprehensive analysis of LLMs, their evolution, and their diverse applications across industries, offering researchers valuable insights into their transformative potential