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TEA Nets reveal that LLMs express sadness with lower emotional intensity than humans in psychotherapy contexts, highlighting potential limitations in their ability to simulate genuine emotional responses.
The findings reveal that the analysed LLMs adopt distinct communication styles and pronoun usage, even when prompted identically, highlighting the need for transparent, network-based methods to monitor and mitigate LLM biases as these models become central tools for retrieving information.