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Research questionHow should autoregressive models balance trait-level accuracy and global consistency in multi-trait essay scoring?Multi-trait scoring requires separate judgments for each dimension while keeping the resulting scores coherent as a whole. Autoregressive scoring models therefore must handle trait-specific and global objectives rather than optimizing only a single overall score.
LLM Pretraining & Post-training
Machine Learning
Natural Language Processing
Latest papersRecent research connected to this question, newest first.Trait-Aware Policy Optimization for Autoregressive Multi-Trait Essay ScoringThe source concerns autoregressive models for multi-trait essay scoring. Its evidence covers reward decomposition for global consistency, trait-level accuracy, format validity, and inter-trait dependencies, along with prompts containing essay questions and trait descriptions; experiments span multiple backbone models and compare against supervised fine-tuning and scalar-reward optimization baselines.research paper · Sep 4, 2026
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