llm-behavior

This paper investigates how politeness and impoliteness in user prompts affect LLM responses across three languages and five major models, finding that politeness effects are language- and model-dependent rather than universal. The authors release PLUM, a multilingual corpus of 1,500 human-validated prompts with politeness annotations, and assess response quality using eight factors.