2 papers
cs.CL2026
Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey +2
AI-driven automated scoring systems offer scalable and efficient means of evaluating complex student-generated responses. Yet, despite increasing demand for transparency and interp…
cs.LG2026
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
Michael Hardy, Yunsung Kim
LLMs increasingly excel on AI benchmarks, but doing so does not guarantee validity for downstream tasks. This study contrasts LLM alignment on benchmarks, downstream tasks, and, im…