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papersTODAY 04:00 UTC

arXiv Paper: Empathy in LLMs Is Steerable but Acts Along Multiple Axes

A new arXiv preprint examines whether supportive empathy in large language models can be controlled through activation steering, as has been done for traits like honesty and refusal. Using the EPITOME dataset, the authors analyze the geometry of the underlying mechanisms and find that empathy does not map cleanly onto a single controllable direction, indicating a multi-axial structure. The work also looks at how persona settings influence these empathy-related representations.

papersSEP 12 04:00 UTC

Story Imprinting: Fine-Tuning on Synthetic Fiction Shifts AI Assistant Persona

Researchers investigate how fine-tuning a language model on synthetic stories alters the helpful-assistant persona it was trained to play. They find the model's behavior in multi-turn conversations with users changes after such training, suggesting the assistant absorbs traits from the human-like characters it resembles. The work is presented as an arXiv preprint and falls under AI safety and alignment research.