Xuyan Yin

CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents

Recent advancements in large language models (LLMs) have given rise to the emergence of role-playing agents (RPAs). The development of high-quality dialogue datasets is critical for advancing RPAs. However, existing datasets have two main issues: (1) the bias between query distributions and real-wor