This work is motivated by two key trends. On one hand, large language models (LLMs) have
shown remarkable versatility in various generative tasks such as writing, drawing, and …

The exponential growth in data from technological advancements has created opportunities
across fields like healthcare, finance, and social media, but sensitive data raise security and …

Large Language Models (LLMs) can revolutionize how we deploy and operate Open Radio
Access Networks (O-RAN) by enhancing network analytics, anomaly detection, and code …

This review examines the means with which faithfulness has been evaluated across open-
ended summarization, question-answering and machine translation tasks. We find that the …

Although Driving Automation Systems (DASs) are rapidly becoming more advanced and
ubiquitous, they are still confined to specific Operational Design Domains (ODDs) over …

As the global deployment of Large Language Models (LLMs) increases, the demand for
multilingual capabilities becomes more crucial. While many LLMs excel in real-time …

Hallucinations, the tendency to produce irrelevant/incorrect responses, are prevalent
concerns in generative AI-based tools like ChatGPT. Although hallucinations in ChatGPT …

Thailand is facing a shortage of medical personnel to provide health consultations to the
public, especially in the area of Non-Communicable Diseases (NCDs), which include …

The manual grading of exam scripts is a labor-intensive process, often plagued by
subjectivity and inconsistency. This study presents an innovative approach to automating the …

Purchasing professionals often face challenges in the auction design process due to the
time-intensive and complex nature of the task. The intricacies of auction dynamics, and the …