Siren's song in the AI ocean: a survey on hallucination in large language models
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
Business insights using RAG–LLMs: a review and case study
M Arslan, S Munawar, C Cruz - Journal of Decision Systems, 2024 - Taylor & Francis
As organizations increasingly rely on diverse data sources like invoices and surveys,
efficient Information Extraction (IE) is crucial. Natural Language Processing (NLP) enhances …
efficient Information Extraction (IE) is crucial. Natural Language Processing (NLP) enhances …
A Survey on RAG with LLMs
In the fast-paced realm of digital transformation, businesses are increasingly pressured to
innovate and boost efficiency to remain competitive and foster growth. Large Language …
innovate and boost efficiency to remain competitive and foster growth. Large Language …
[HTML][HTML] Driving sustainable energy transitions with a multi-source RAG-LLM system
M Arslan, L Mahdjoubi, S Munawar - Energy and Buildings, 2024 - Elsevier
By 2035, the UK aims to upgrade all homes to achieve a net-zero economy by 2050, thereby
reducing energy consumption, household costs, and improving living conditions. Small and …
reducing energy consumption, household costs, and improving living conditions. Small and …
Are Large Language Models Good at Utility Judgments?
Retrieval-augmented generation (RAG) is considered to be a promising approach to
alleviate the hallucination issue of large language models (LLMs), and it has received …
alleviate the hallucination issue of large language models (LLMs), and it has received …
Political-RAG: using generative AI to extract political information from media content
M Arslan, S Munawar, C Cruz - Journal of Information Technology …, 2024 - Taylor & Francis
In the digital era, media content is crucial for political analysis, providing valuable insights
through news articles, social media posts, speeches, and reports. Natural Language …
through news articles, social media posts, speeches, and reports. Natural Language …
Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis
Optimizing antibiotic dosing recommendations is a vital aspect of antimicrobial stewardship
(AMS) programs aimed at combating antimicrobial resistance (AMR), a significant public …
(AMS) programs aimed at combating antimicrobial resistance (AMR), a significant public …
Political Events using RAG with LLMs
M Arslan, S Munawar, C Cruz - Procedia Computer Science, 2024 - Elsevier
In the contemporary digital landscape, media content stands as the foundation for political
news analysis, offering invaluable insights sourced from various channels like news articles …
news analysis, offering invaluable insights sourced from various channels like news articles …
[PDF][PDF] Enhanced Hybrid Inference Techniques for Scalable On-Device LLM Personalization and Cloud Integration
T Peng, L Liu, M Gupta, K Mehta, A Nair, S Desai… - contexts, 2024 - researchgate.net
Large language models (LLMs) have transformed the landscape of natural language
processing, yet personalization remains a key challenge, particularly in terms of scalability …
processing, yet personalization remains a key challenge, particularly in terms of scalability …
面向自动驾驶的大模型对齐技术: 综述
唐小林， 甘露， **国法， **克**， 褚文博 - 汽车工程, 2024 - qichegongcheng.com
随着Transformer 注意力机制的出现, 以GPT 为代表的通用基础大模型实现了智能的“涌现”,
给自动驾驶迈向更高级别发展带来了曙光. 受限于传统从头预训练方式需要大规模, 高质量 …
给自动驾驶迈向更高级别发展带来了曙光. 受限于传统从头预训练方式需要大规模, 高质量 …