Conversational history changes LLM personality-test answers: it increases answer consistency through in-context learning but shifts OCEAN scores, especially for GPT-3.5/4, while smaller models rely heavily on prior interactions.
In Findings of the Associ- ation for Computational Linguistics: NAACL 2024, pages 3605–3627, Mexico City, Mexico
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
CAPE: Context-Aware Personality Evaluation Framework for Large Language Models
Conversational history changes LLM personality-test answers: it increases answer consistency through in-context learning but shifts OCEAN scores, especially for GPT-3.5/4, while smaller models rely heavily on prior interactions.