Artificial Intelligence #large language models#essay scoring
From Texts to Scores: Tracing the Emergence of Essay Quality Representations in Large Language Models
A study by Zuo et al. systematically analyzes hidden representations of eight LLMs across three essay datasets, finding that essay quality information is linearly decodable, emerges progressively across layers, and is robust to prompting strategies. The research identifies individual 'essay scoring neurons' and shows that their distribution shifts with essay length, offering insights into interpretability of LLM-based automated essay scoring systems.
Jun 20, 2026 1 source