Tootfinder

Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
Om Dobariya, Akhil Kumar
https://arxiv.org/abs/2510.04950 https://ar…

Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
The wording of natural language prompts has been shown to influence the performance of large language models (LLMs), yet the role of politeness and tone remains underexplored. In this study, we investigate how varying levels of prompt politeness affect model accuracy on multiple-choice questions. We created a dataset of 50 base questions spanning mathematics, science, and history, each rewritten into five tone variants: Very Polite, Polite, Neutral, Rude, and Very Rude, yielding 250 unique prom…

“The real question, then, is not ‘what can we do?’, but ‘what are we afraid to do?’ Whose comfort are we protecting when we ask safe questions? Whose illusions do we preserve through politeness? Solidarity is not an optic; it is a disruption. It is noisy, uncomfortable, often isolating. It pulls reputation apart rather than polishing it.
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We are too fluent in the language of outrage, too comfortable in the posture of virtue. History will not absolve spectatorship, even when specta…

When solidarity becomes spectacle
Francesca Albanese’s visit to South Africa exposed a truth we prefer not to face: that our moral witness has hardened into ritual. We watch, we clap, we call it solidarity.

in der #verschlagwortung diese woche: "beyond binaries in address research: politeness and identity practices in interaction" (https://hbz-ulbms.primo.exlibrisgroup.…

There are plenty of #HamRadio CW operators who, as a politeness, greet you by name when you have a QSO, even a POTA QSO. But they also see "Michael" and send "Mike" because "Michael" takes a long time to send.
I get it, "Mike" is shorter, but... I just don't go by "Mike"
I do go by "MKJ" — I used that for decades on IRC, and now at work there are so many Mi…

Mind the Gap: Linguistic Divergence and Adaptation Strategies in Human-LLM Assistant vs. Human-Human Interactions
Fulei Zhang, Zhou Yu
https://arxiv.org/abs/2510.02645 https://

Mind the Gap: Linguistic Divergence and Adaptation Strategies in Human-LLM Assistant vs. Human-Human Interactions
As Large Language Models (LLMs) are increasingly deployed in customer-facing applications, a critical yet underexplored question is how users communicate differently with LLM chatbots compared to human agent. In this study, we present empirical evidence that users adopt distinct communication styles when users interact with chatbots versus human agents. Our analysis reveals significant differences in grammatical fluency, politeness, and lexical diversity in user language between the two setting…