2 papers
cs.HC2025
Who's Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots
Zahra Ashktorab, Alessandra Buccella, Jason D'Cruz +6
As chatbots driven by large language models (LLMs) are increasingly deployed in everyday contexts, their ability to recover from errors through effective apologies is critical to m…
cs.HC2025
Chatbot apologies: Beyond bullshit
P. D. Magnus, Alessandra Buccella, Jason D'Cruz
Apologies serve essential functions for moral agents such as expressing remorse, taking responsibility, and repairing trust. LLM-based chatbots routinely produce output that has th…