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This study presents RoleCraft-GLM, an innovative framework aimed at enhancingpersonalized role-playing with Large Language Models (LLMs). RoleCraft-GLMaddresses the key issue of lacking personalized interactions in conversationalAI, and offers a solution with detailed and emotionally nuanced characterportrayals. We contribute a unique conversational dataset that shifts fromconventional 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, ensuringdialogues are both realistic and emotionally resonant. The effectiveness ofRoleCraft-GLM is validated through various case studies, highlighting itsversatility and skill in different scenarios. Our framework excels ingenerating dialogues that accurately reflect characters' personality traits andemotions, thereby boosting user engagement. In conclusion, RoleCraft-GLM marksa significant leap in personalized AI interactions, and paves the way for moreauthentic and immersive AI-assisted role-playing experiences by enabling morenuanced and emotionally rich dialogues

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