Comment by uxhacker
14 days ago
Persona’s is not the same thing as a role. The point of the role is to limit what the work of the agent, and to focus it on one or two behaviors.
What the paper is really addressing is does key words like you are a helpful assistant give better results.
The paper is not addressing a role such as you are system designer, or you are security engineer which will produce completely different results and focus the results of the LLM.
Aside from what you said about applicability, the paper actually contradicts their claim!
In the domain alignment section:
> The coefficient for “in-domain” is 0.004(p < 0.01), suggesting that in-domain roles generally lead to better performance than out-domain roles.
Although the effect size is small, why would you not take advantage of it.
I would be interested in an eval that checked both conditions: you are an amazing x Vs. you are a terrible x. also there have been a bunch of papers recently looking at whether threatening the llm improves output, would like to see a variation that tries carrot and stick as well.