A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoring
HiFTS is proposed, a unified autoregressive framework that generates hierarchical CoT feedback before predicting trait-level and holistic scores and applies Group Relative Policy Optimization with a composite reward balancing score agreement, calibration, feedback quality, and structural validity.