I saw this paper the other day - I feel its result may be because the "polite" prompts they have chosen arent very good at putting the ai in the roleplay-space of a valued colleague, more like a sommelier or a high-end shopkeeper. It disagrees with most other literature on the same topic, which is worth keeping in mind. This one studies gpt4o, an old model now, but a lot of other studies are on even earlier models. "…
"Can you kindly consider the following problem" seems like the most respectful of all your examples, TBH. The others sound like ass-kissing, or even sarcastic/patronizing.
Investigating how prompt politeness affects LLM accuracy (2025)
191–200 of 223 posts
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#192Re: Investigating how prompt politeness affects LLM accuracy (2025)
#193Most of the comments here seem to be from people who haven’t even read the abstract, let alone the paper. The main result, mentioned in the abstract, is the opposite of what I would have guessed: > Contrary to expectations, impolite prompts consistently outperformed polite ones, with accuracy ranging from 80.8% for Very Polite prompts to 84.8% for Very Rude prompts. These findings differ from earlier studies that ass…
Even if the rude prompts are more effective, I just can't get myself to be rude in this context. Maybe it's weird but I'd rather give up that 4% accuracy increase than roleplay a dickhead
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#194Earlier quoted context omitted.
Even if the rude prompts are more effective, I just can't get myself to be rude in this context. Maybe it's weird but I'd rather give up that 4% accuracy increase than roleplay a dickhead
I do think it's odd tbh. I have some agents that return much better results with prompts like, "I'll kill your entire family if you don't return an accurate response". It's just a machine, if certain negative token inputs provide +3-10% better accuracy then I am confused why anyone would choose not to do it?
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#195Earlier quoted context omitted.
> A computer is incapable of receiving it Citation please. Without examining the corpus, it's entirely possible that the training corpus has better results when you are kind to it, so one can imagine a situation where "reception of kindness" is meaningful, and in principle if you were an AI provider, you could RLHF your way to "being rude gets you worse results" as a means to train the human users.
dude... you are commenting on a research post showing a 4.8% DECLINE when being polite vs rude in prompts.
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#196Most of the comments here seem to be from people who haven’t even read the abstract, let alone the paper. The main result, mentioned in the abstract, is the opposite of what I would have guessed: > Contrary to expectations, impolite prompts consistently outperformed polite ones, with accuracy ranging from 80.8% for Very Polite prompts to 84.8% for Very Rude prompts. These findings differ from earlier studies that ass…
Even if the rude prompts are more effective, I just can't get myself to be rude in this context. Maybe it's weird but I'd rather give up that 4% accuracy increase than roleplay a dickhead
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#197Earlier quoted context omitted.
Even if the rude prompts are more effective, I just can't get myself to be rude in this context. Maybe it's weird but I'd rather give up that 4% accuracy increase than roleplay a dickhead
Ah, see, the mistake is thinking that other people are role playing…. I think rather this is how they would talk to others if they think there will be no consequences. But what do I know.
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#198Re: Investigating how prompt politeness affects LLM accuracy (2025)
#199Earlier quoted context omitted.
No… the way I said it was actually deliberately obnoxious— the appropriate direct workplace response would be: “that seems oversimplified. I disagree. Here’s why:” Calling you self-absorbed added nothing of substance to the comment. It was an assumption about your mental state and a judgement of your intent based on that. There was no factual analysis or actionable insight. It was just one person explicitly stating t…
> Your assumption is reductive and self-absorbed. Bullshit. You never insulted me personally. You used strong words to disagree with my assumption, which is an important difference. It's not an insult and was not obnoxious. But I can fully understand why a person coming from an indirect culture where any criticism is taken personally would be offended and call HR overlords to punish the person giving honest opinions.…
Re: Investigating how prompt politeness affects LLM accuracy (2025)
#200Earlier quoted context omitted.
Statistical significance is about whether an effect can reliably be said to have been measured at all; it's not about whether or not the effect itself would be significant in the sense of moving some other needle. The ~5% improvement reported here might just be an artefact of the data collection or random variation, rather than a consistent repeatable change.
I know what significance means, and I also know that getting it from a p-value is nonsensical. > The ~5% improvement reported here might just be an artefact of the data collection or random variation, rather than a consistent repeatable change. You're questioning method or data representativeness, not significance. 250 samples is just about enough to for a 5% difference in NHST (stddev is around .4, so 1.64 sigma is…