Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …

Text retrieval is a long-standing research topic on information seeking, where a system is
required to return relevant information resources to user's queries in natural language. From …

Abstract The task of Question Answering (QA) has attracted significant research interest for a
long time. Its relevance to language understanding and knowledge retrieval tasks, along …

This paper reviews the state-of-the-art of language models architectures and strategies for"
complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large …

In this paper, we address the significant gap in Arabic natural language processing (NLP)
resources by introducing ArabicaQA, the first large-scale dataset for machine reading …

Large language models encode impressively broad world knowledge in their parameters.
However, the knowledge in static language models falls out of date, limiting the model's …

Nowadays, individuals tend to engage in dialogues with Large Language Models, seeking
answers to their questions. In times when such answers are readily accessible to anyone …

Seeking answers to questions within long scientific research articles is a crucial area of
study that aids readers in quickly addressing their inquiries. However, existing question …

Due to the rapid generation and dissemination of information, large language models
(LLMs) quickly run out of date despite enormous development costs. Due to this crucial need …

Large language models (LLMs) have made significant progress in natural language
processing (NLP), and are utilized extensively in various applications. Recent works, such …