most citedPersona Alchemy: Designing, Evaluating, and Implementing Psychologically-Grounded LLM Agents for Diverse Stakeholder Representation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CY2026

All Public Voices Are Equal, But Are Some More Equal Than Others to LLMs?

Sola Kim, Marco A. Janssen, Jieshu Wang +3

Federal agencies are increasingly deploying large language models (LLMs) to process public comments submitted during notice-and-comment rulemaking, the primary mechanism through wh…

cs.CY2026

How Large Language Models Systematically Misrepresent American Climate Opinions

Sola Kim, Jieshu Wang, Marco A. Janssen +1

Federal agencies and researchers increasingly use large language models to analyze and simulate public opinion. When AI mediates between the public and policymakers, accuracy acros…

cs.MA20261 cited

Persona Alchemy: Designing, Evaluating, and Implementing Psychologically-Grounded LLM Agents for Diverse Stakeholder Representation

Sola Kim, Dongjune Chang, Jieshu Wang

Despite advances in designing personas for Large Language Models (LLM), challenges remain in aligning them with human cognitive processes and representing diverse stakeholder persp…

cs.LG2025

A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls and Street Images

Wooyong Jung, Sola Kim, Dongwook Kim +2

Homelessness in the United States has surged to levels unseen since the Great Depression. However, existing methods for monitoring it, such as point-in-time (PIT) counts, have limi…

cs.MA2025

AI-Supported Platform for System Monitoring and Decision-Making in Nuclear Waste Management with Large Language Models

Dongjune Chang, Sola Kim, Young Soo Park

Nuclear waste management requires rigorous regulatory compliance assessment, demanding advanced decision-support systems capable of addressing complex legal, environmental, and saf…