TAPO improves autoregressive multi-trait essay scoring by decomposing rewards across samples and traits while using enhanced prompts, outperforming supervised fine-tuning and scalar-reward baselines.
In Proceedings of the 22nd International Conference on Machine Learning, ICML ’05, pages 89–96, New York, NY , USA
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Trait-Aware Policy Optimization for Autoregressive Multi-Trait Essay Scoring
TAPO improves autoregressive multi-trait essay scoring by decomposing rewards across samples and traits while using enhanced prompts, outperforming supervised fine-tuning and scalar-reward baselines.