2 papers
cs.CL2025
Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
Siqi Shen, Mehar Singh, Lajanugen Logeswaran +3
There has been extensive research on assessing the value orientation of Large Language Models (LLMs) as it can shape user experiences across demographic groups. However, several ch…
cs.CL2024
The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models
Siyang Liu, Trish Maturi, Bowen Yi +2
We explore the alignment of values in Large Language Models (LLMs) with specific age groups, leveraging data from the World Value Survey across thirteen categories. Through a diver…