benchmark creation 1cultural awareness 1multilingual moral reasoning 1self-distillation 1theory-grounded prompting 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CL2026
MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning
Ayoung Lee, Ryan Kwon, Yunxiang Zhang +3
The paper introduces a multilingual, culture-aware benchmark (MCLASH) and a two-step, theory‑grounded prompting method (MET) with a self‑distillation variant (MET‑D) to improve mor…
cs.CL2026
CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives
Ayoung Lee, Ryan Sungmo Kwon, Peter Railton +1
Navigating dilemmas involving conflicting values is challenging even for humans in high-stakes domains, let alone for AI, yet prior work has been limited to everyday scenarios. To…
cs.LG2025
Representation Bending for Large Language Model Safety
Ashkan Yousefpour, Taeheon Kim, Ryan S. Kwon +7
Large Language Models (LLMs) have emerged as powerful tools, but their inherent safety risks - ranging from harmful content generation to broader societal harms - pose significant…