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 ask them. Phrases like ``This is urgent'' or ``As your supervisor'' can shift model beha…
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…