RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models

arXiv:2401.09432v2 Announce Type: replace-cross
Abstract: This study presents RoleCraft-GLM, an innovative framework aimed at enhancing personalized role-playing with Large Language Models (LLMs). RoleCraft-GLM addresses the key issue of lacking personalized interactions in conversational AI, and offers a solution with detailed and emotionally nuanced character portrayals. We contribute a unique conversational dataset that shifts from conventional celebrity-centric characters to diverse, non-celebrity personas, thus enhancing the realism and complexity of language modeling interactions. Additionally, our approach includes meticulous character development, ensuring dialogues …

abstract arxiv conversational conversational ai cs.ai cs.cl cs.lg dataset framework interactions issue key language language models large language large language models llms personalized playing role solution study the key type