Large language models (LLMs) have substantially pushed artificial intelligence (AI) research
and applications in the last few years. They are currently able to achieve high effectiveness …

Natural Language Processing (NLP) research is increasingly focusing on the use of Large
Language Models (LLMs), with some of the most popular ones being either fully or partially …

The release of ChatGPT has marked the dawn of a new information revolution that will
transform how people communicate and make meaning. However, to date, little is known …

Abstract Large Language Models (LLMs) have demonstrated remarkable performance in
various tasks and gained significant attention. LLMs are also used for local sequence …

In Grammatical Error Correction (GEC), it is crucial to ensure the user's comprehension of a
reason for correction. Existing studies present tokens, examples, and hints as to the basis for …

Thanks to recent advances in generative AI, we are able to prompt large language models
(LLMs) to produce texts which are fluent and grammatical. In addition, it has been shown …

There is increasing interest in employing large language models (LLMs) as cognitive
models. For such purposes, it is central to understand which cognitive properties are well …

Question answering (QA) and Machine Reading Comprehension (MRC) tasks have
significantly advanced in recent years due to the rapid development of deep learning …

Grammatical Error Correction (GEC) systems play a vital role in assisting people with their
daily writing tasks. However, users may sometimes come across a GEC system that initially …

The proliferation of fake news poses a significant challenge in today's information
landscape, spanning diverse domains and topics and undermining traditional detection …