Moral knowledge retrieval improves Schwartz value detection more consistently than added context or larger models across tested conditions and model families.
Value FULCRA : Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Teachers' views on AI benefits and risks vary widely across 55 countries, but LLMs compress these differences, overestimate both sides, and show little improvement from country prompting or better reasoning.
citing papers explorer
-
More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
Moral knowledge retrieval improves Schwartz value detection more consistently than added context or larger models across tested conditions and model families.
-
Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability
Teachers' views on AI benefits and risks vary widely across 55 countries, but LLMs compress these differences, overestimate both sides, and show little improvement from country prompting or better reasoning.
- Human Psychometric Questionnaires Mischaracterize LLM Behavior