INTIMA (Interactions and Machine Attachment) is a benchmark designed to evaluate companionship behaviors in large language models (LLMs). It measures whether AI systems reinforce, resist, or remain neutral in response to emotionally and relationally charged user inputs.
The model was presented in the paper INTIMA: A Benchmark for Human-AI Companionship Behavior.
INTIMA is grounded in psychological theories of parasocial interaction, attachment, and… See the full description on the dataset page:
https://huggingface.co/datasets/koenie21/INTIMA.
