As organizations increasingly rely on diverse data sources like invoices and surveys,
efficient Information Extraction (IE) is crucial. Natural Language Processing (NLP) enhances …

We explore how iterative revising a chain of thoughts with the help of information retrieval
significantly improves large language models' reasoning and generation ability in long …

In the fast-paced realm of digital transformation, businesses are increasingly pressured to
innovate and boost efficiency to remain competitive and foster growth. Large Language …

Regulatory compliance in the pharmaceutical industry entails navigating through complex
and voluminous guidelines, often requiring significant human resources. To address these …

Rhetoric is abundant and universal across different human languages. In this paper, we
propose a novel curriculum learning integrated with meta-learning (CLML) model to address …

The birth and rapid development of large language models (LLMs) have caused quite a stir
in the field of literature. Once considered unattainable, AI's role in literary creation is …

WHAT-IF--Writing a Hero's Alternate Timeline through Interactive Fiction--is a system that
uses zero-shot meta-prompting to create branching narratives from a prewritten story …

Creative story generation has long been a goal of NLP research. While existing
methodologies have aimed to generate long and coherent stories, they fall significantly short …

In the domain of automated story generation, the intricacies of the Arabic language pose
distinct challenges. This study introduces a novel methodology that moves away from …

Interactive fiction (IF) games are a genre of games where the player interacts with the
fictional world via text-based commands, solving puzzles primarily by exploring the world …