Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

The development of large language models (LLMs) such as ChatGPT has brought a lot of
attention recently. However, their evaluation in the benchmark academic datasets remains …

Question-answering (QA) is a significant application of Large Language Models (LLMs),
shaping chatbot capabilities across healthcare, education, and customer service. However …

Debatepedia is a publicly available dataset consisting of arguments and counter-arguments
on controversial topics that has been widely used for the single-document query-focused …

This research paper presents a comprehensive comparative study assessing the quality of
annotations in Turkish, Indonesian, and Minangkabau Natural Language Processing (NLP) …

In the realm of data-driven AI technology, the application of open-source large language
models (LLMs) in robotic task planning represents a significant milestone. Recent robotic …

Text summarization (TS) plays a crucial role in natural language processing (NLP) by
automatically condensing and capturing key information from text documents. Its …

Retrieval-augmented large language models (LLMs) have demonstrated efficacy in
knowledge-intensive tasks such as open-domain QA, addressing inherent challenges in …

This paper presents efforts towards creating a tool for translating texts from Middle Polish
into modern Polish. Archaic texts sourced from the CBDU digital library were translated into …

Table summarization is a crucial task aimed at condensing information from tabular data into
concise and comprehensible textual summaries. However, existing approaches often fall …