The best research I've seen on this is:
- Threatening or tipping a model generally has no significant effect on benchmark performance.
- Prompt variations can significantly affect performance on a per-question level. However, it is hard to know in advance whether a particular prompting approach will help or harm the LLM's ability to answer any particular question.