From generation to judgment: Opportunities and challenges of llm-as-a-judge
Assessment and evaluation have long been critical challenges in artificial intelligence (AI)
and natural language processing (NLP). However, traditional methods, whether matching …
and natural language processing (NLP). However, traditional methods, whether matching …
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 …
Benchmarking retrieval-augmented generation for medicine
While large language models (LLMs) have achieved state-of-the-art performance on a wide
range of medical question answering (QA) tasks, they still face challenges with …
range of medical question answering (QA) tasks, they still face challenges with …
Medadapter: Efficient test-time adaptation of large language models towards medical reasoning
Despite their improved capabilities in generation and reasoning, adapting large language
models (LLMs) to the biomedical domain remains challenging due to their immense size …
models (LLMs) to the biomedical domain remains challenging due to their immense size …
Custom Large Language Models Improve Accuracy: Comparing Retrieval Augmented Generation and Artificial Intelligence Agents to Noncustom Models for Evidence …
Purpose The purpose of the study is to demonstrate the value of custom methods, namely
Retrieval Augmented Generation (RAG)-based Large Language Models (LLMs) and Agentic …
Retrieval Augmented Generation (RAG)-based Large Language Models (LLMs) and Agentic …
[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 …
Ram-ehr: Retrieval augmentation meets clinical predictions on electronic health records
We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on
Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources …
Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources …
Clinical insights: A comprehensive review of language models in medicine
This paper provides a detailed examination of the advancements and applications of large
language models in the healthcare sector, with a particular emphasis on clinical …
language models in the healthcare sector, with a particular emphasis on clinical …
OPEN-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Retrieval-Augmented Generation (RAG) has been shown to enhance the factual accuracy of
Large Language Models (LLMs), but existing methods often suffer from limited reasoning …
Large Language Models (LLMs), but existing methods often suffer from limited reasoning …
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 …