Recent advancements in large language models (LLMs) have significantly boosted the rise
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …

Large Language Models (LLMs) have generated considerable interest and debate
regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal …

Large language models (LLMs) have demonstrated impressive performance and spurred
numerous AI applications, in which role-playing agents (RPAs) are particularly popular …

Comprehending characters' personalities is a crucial aspect of story reading. As readers
engage with a story, their understanding of a character evolves based on new events and …

Characters are integral to long-form narratives, but are poorly understood by existing story
analysis and generation systems. While prior work has simplified characters via graph …

Movie screenplays have a distinct narrative structure. It segments the story into scenes
containing interleaving descriptions of actions, locations, and character dialogues. A typical …

Identifying speakers of quotations in narratives is an important task in literary analysis, with
challenging scenarios including the out-of-domain inference for unseen speakers, and non …

In the field of geological exploration, accurately distinguishing between different types of
fluids is crucial for the development of oil, gas, and mineral resources. Due to the scarcity of …

Can Large Language Models (LLMs) simulate humans in making important decisions?
Recent research has unveiled the potential of using LLMs to develop role-playing language …

This paper introduces CharMoral, a dataset designed to analyze the moral evolution of
characters in long-form narratives. CharMoral, built from 1,337 movie synopses, includes …