Author

Sanwoo Lee

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#natural language process... May 2026

Trait-Aware Policy Optimization for Autoregressive Multi-Trait Essay Scoring

Experiments show that the proposed Trait-Aware Policy Optimization method consistently improves multi-trait scoring performance over supervised fine-tuning and scalar-reward optimization baselines, demonstrating the effectiveness and transferability of trait-aware post-training for essay scoring.

Zhengyang Wang, Sanwoo Lee, Jiaxin Wang et al. · arXiv.org · 2 citations

#natural language process... Preprint Aug 2026

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.

Shi-Hang Yang, Sanwoo Lee, Ning-Ning Zhao et al. · 1 citation

Jul 2026

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End

LatentRM is a reward modeling framework that learns intermediate reasoning traces as discrete latent variables to explicitly maximize the likelihood of downstream scalar rewards through on-policy optimization of the latent reasoning space end-to-end.

Sanwoo Lee, Clive Bai, Hsiu-Yuan Huang et al. · arXiv.org · 0 citations