Papers by June M. Liu

1 papers
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models (2025.findings-naacl)

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Challenge: Existing LLMs fail to capture the nuances of human emotions, making their interactions seem impersonal or inadequate.
Approach: They propose a two-stage automatic data generation framework to generate a Chinese dataset called CAPE . their data is a cognitive appraisal theory-based Emotional corpus that accounts for personal and situational factors.
Outcome: The proposed framework can generate human-like responses in conversation with large language models.

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