2 papers
cs.CL2026
Measuring Pragmatic Influence in Large Language Model Instructions
Yilin Geng, Omri Abend, Eduard Hovy +1
It is not only what we ask large language models (LLMs) to do that matters, but also how we prompt. Phrases like "This is urgent" or "As your supervisor" can shift model behavior w…
cs.CY2025
Place Matters: Comparing LLM Hallucination Rates for Place-Based Legal Queries
Damian Curran, Vanessa Sporne, Lea Frermann +1
How do we make a meaningful comparison of a large language model's knowledge of the law in one place compared to another? Quantifying these differences is critical to understanding…