Papers by Zhifeng Liao

1 papers
Rethinking Personality Assessment from Human-Agent Dialogues: Fewer Rounds May Be Better Than More (2025.findings-emnlp)

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Challenge: Existing personality assessment datasets based on natural language do not consider interactivity.
Approach: They propose to use a Chinese dataset to study the effects of different interaction rounds and agent personalities on personality assessment.
Outcome: The proposed dataset contains 1260 interaction rounds between humans and agents with different personalities.

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