A new paper explores the challenges of aligning large language models with expert judgment, particularly in subjective evaluation tasks. The research indicates that alignment difficulty varies significantly between experts and that explicit criteria do not always improve the process. Furthermore, the study found that editing is sensitive to the number and identity of examples, and that alignment is easier for dimensions directly related to content compared to those requiring external knowledge or value judgments. AI
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IMPACT Highlights the inherent difficulties in aligning LLMs with subjective human judgment, suggesting limitations beyond model capabilities.
RANK_REASON Academic paper on AI alignment challenges.