While I cannot argue about a Specific approach, I could say that hallucinations can only be minimized but with a various level of measures while working with large language models.
As an example, while we were building our AI Chatbot for Ora2Pg, the main challenge was that we used OpenAI and several other models to begin with. To avoid hallucinations to the most possible extent, we went through various levels including PDR and then Knowledge Graphs and added FAQs and then used an Agentic approach to support it with as much as information as possible from all possible contexts.
As it is very challenging for anybody and everybody to build their own models trained with their data set, it is not something possible to avoid hallucination with generic purpose LLM's unless they are trained with our data sets.
The chatbot that we built to avoid hallucination as much as we can.