3 papers
cs.CL2025
Uncovering Factor Level Preferences to Improve Human-Model Alignment
Juhyun Oh, Eunsu Kim, Jiseon Kim +4
Large language models (LLMs) often exhibit tendencies that diverge from human preferences, such as favoring certain writing styles or producing overly verbose outputs. While crucia…
cs.CY2025
Measuring Interest Group Positions on Legislation: An AI-Driven Analysis of Lobbying Reports
Jiseon Kim, Dongkwan Kim, Joohye Jeong +2
Special interest groups (SIGs) in the U.S. participate in a range of political activities, such as lobbying and making campaign donations, to influence policy decisions in the legi…
cs.CY2025
Exploring Persona-dependent LLM Alignment for the Moral Machine Experiment
Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti +2
Deploying large language models (LLMs) with agency in real-world applications raises critical questions about how these models will behave. In particular, how will their decisions…