No Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpus · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2604.16275/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTNo Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpus — mentioned by sebastiennighthttps://news.ycombinator.com/item?id=49380415urn:hackerpapers:mention:2604.16275:49380415Thu, 20 Aug 2026 21:18:54 GMT<p>&gt; Terseness doesn&#x27;t offend the statistical model, but giving platitudes may color its output My understanding of the state of current research is that the impact of tone/politeness on performance is highly model-dependent, and language dependent as well. See `No Universal Courtesy` (April 2026) https://arxiv.org/html/2604.16275v1 While polite prompts enhance the average response quality by upto 11% and impolite tones worsen it, these effects are neither consistent nor universal across languages and models. English is best served by courtesy or direct, Hindi by deferential and indirect and…</p><p><a href="https://hackerpaper.kaipfister.de/p/2604.16275/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL