Systematically Reducing Hallucination in Generative AI from Users to Data to Models
This paper clarifies the above three aspects and how they work together to form a closed-loop hallucination cycle, starting with user feedback as a departure point, moving to the next step of turning error-correction signals into training instances at the data tier, and lastly to internalising the ability of veracity d...