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Found 3 papers, 2 papers with code
InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews
Then, with InCharacter, we show that state-of-the-art RPAs exhibit personalities highly aligned with the human-perceived personalities of the characters, achieving an accuracy up to 80. 7%.
ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
Role-playing chatbots built on large language models have drawn interest, but better techniques are needed to enable mimicking specific fictional characters.
Learning to mirror speaking styles incrementally
Our method extracts ngrams that capture a persons speaking styles and uses the ngrams to create patterns for transforming sentences to the persons speaking styles.
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