Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …

Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs)
represent sophisticated models engineered to comprehend, generate, and manipulate text …

The rise of powerful large language models (LLMs) brings about tremendous opportunities
for innovation but also looming risks for individuals and society at large. We have reached a …

Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Prompt Engineering has garnered significant attention for enhancing the performance of
large language models across a multitude of tasks. Techniques such as the Chain-of …

We propose end-to-end multimodal fact-checking and explanation generation, where the
input is a claim and a large collection of web sources, including articles, images, videos, and …

The trustworthiness of machine learning has emerged as a critical topic in the field,
encompassing various applications and research areas such as robustness, security …

Since their inception in the 1980s, language models (LMs) have been around for more than
four decades as a means for statistically modeling the properties observed from natural …

The increasing use of complex and opaque black box models requires the adoption of
interpretable measures, one such option is extractive rationalizing models, which serve as a …

Providing explainable and faithful feedback is crucial for automated student answer
assessment. In this paper, we introduce a novel framework that explores using ChatGPT, a …