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Should We Respect LLMs? A Study on Influence of Prompt Politeness on Performance

arxiv.org

1–10 of 110 posts

Re: Should We Respect LLMs? A Study on Influence of Prompt Politeness on Performance

#3
I’m totally against the anthropomorphization of LLMs. These are tools, not sentient beings. Treat them as such. Unlike a power tool, they don’t need respect because they cannot hurt you. LLMs trying to simulate human behavior is like the equivalent of skeuomorphism in UI design.

Re: Should We Respect LLMs? A Study on Influence of Prompt Politeness on Performance

#5
> Our study finds that the politeness of prompts can significantly affect LLM performance. This phenomenon is thought to reflect human social behavior. The study notes that using impolite prompts can result in the low performance of LLMs, which may lead to increased bias, incorrect answers, or refusal of answers. However, highly respectful prompts do not always lead to better results. In most conditions, moderate politeness is better, but the standard of moderation varies by languages and LLMs. In particular, models trained in a specific language are susceptible to the politeness of that language. This phenomenon suggests that cultural background should be considered during the development and corpus collection of LLMs.

Re: Should We Respect LLMs? A Study on Influence of Prompt Politeness on Performance

#7
post #4

Sam Altman doesn't want you to say "please" to ChatGPT. https://futurism.com/altman-please-thanks-chatgpt

That is not true; first he says it's "tens of millions of dollars well spent," followed by "you never know". I don't think he knows.

Re: Should We Respect LLMs? A Study on Influence of Prompt Politeness on Performance

#8
post #3

I’m totally against the anthropomorphization of LLMs. These are tools, not sentient beings. Treat them as such. Unlike a power tool, they don’t need respect because they cannot hurt you. LLMs trying to simulate human behavior is like the equivalent of skeuomorphism in UI design.

They’re also language tools, built on the ingestion and training of language and its tone, form and application. The way they work, by inferring responses based on the probabilistic best response to your language prompt, means the construction of your input in its tone, form and application will influence the quality of output.

It might offend you to show deference to a tool but ignoring the optimal way to use a tool on principle is foolish.

Re: Should We Respect LLMs? A Study on Influence of Prompt Politeness on Performance

#10
post #3

I’m totally against the anthropomorphization of LLMs. These are tools, not sentient beings. Treat them as such. Unlike a power tool, they don’t need respect because they cannot hurt you. LLMs trying to simulate human behavior is like the equivalent of skeuomorphism in UI design.

Because LLMs match your prompt to data scraped off the internet, it’s plausible that being polite results in your response coming from more civil conversations that have more useful data.
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