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cs.AI2026
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas
Katherine Elkins, Jon Chun
Language models are increasingly consulted on ethically consequential questions, yet the stance a model expresses may not survive a change in framing. We audit 16 models across 14…
cs.AI2026
The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making
Jon Chun, Katherine Elkins
While Large Language Models (LLMs) are widely documented to be sensitive to minor prompt perturbations and prone to sycophantic alignment, their robustness in consequential, rule-b…
cs.AI2026
AgenticSimLaw: A Juvenile Courtroom Multi-Agent Debate Simulation for Explainable High-Stakes Tabular Decision Making
Jon Chun, Kathrine Elkins, Yong Suk Lee
We introduce AgenticSimLaw, a role-structured, multi-agent debate framework that provides transparent and controllable test-time reasoning for high-stakes tabular decision-making t…