3 papers
cs.CL2026
Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning
Muhammad Usama, Dong Eui Chang
Large language models trained under diverse objectives and architectures have been shown to develop increasingly similar internal representations, an observation formalized as the…
cs.MA2026
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.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…