Author

Pascal Poupart

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#natural language process... Preprint Sep 2026

Beyond Reference-Based Evaluation: Reward Models for Meta-Evaluation of Grammatical Error Correction

RM-EVAL is introduced, a reward model trained on human preference data from SEEDA, as a reference-free meta-evaluator that predicts human-like quality judgments at both full-sequence and partial-sequence levels and can be used as a learning signal to improve GEC generation via Reward-Guided Text Generation (RGTG), whic...

Ruo-Tian Wu, Bill Johnson, G. Saunders et al. · 0 citations

Preprint Aug 2026

Out-Of-The-Loop Multi-Fidelity Bayesian Optimization

This work demonstrates the suboptimality of standard MF-BO algorithms in the real-world scenarios above, even under ideal assumptions, and mitigate this problem by incorporating historical high-fidelity data accompanied by task descriptors---which can be explicitly given or extracted from unstructured metadata.

G. Sutter, Hao Wang, Luis A. Ricardez-Sandoval et al. · 0 citations