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Author

Koichi Takeuchi

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Open access Sep 2026

Multi-Expert Japanese Essay Scoring: MoE Architecture with Rubric-Augmented Prompts and LoRA-Efficient Fine-Tuning

Automated essay scoring (AES) in Japanese has traditionally relied on single-classifier approaches with limited performance. This paper presents a multi-expert Japanese essay scoring system that combines Mixture of Experts (MoE) with parameter-efficient LoRA fine-tuning and rubric-augmented prompts, applying MoE to Jap...

Boago Okgetheng, Koichi Takeuchi · 0 citations
Open access Sep 2026

Direct Measurement and AI-based Inference Reveal Histological Section Thickness as a Variable Physical Property Accessible from Routine H&E Images.

PURPOSE Variability in routine hematoxylin and eosin (H&E) images is an emerging concern in diagnostic and computational pathology. Although staining variability has been extensively studied, histological section thickness remains a largely unmeasured physical property that may influence image appearance. We investigat...

Masayoshi Fujisawa, Toshiaki Ohara, Yuto Shimada et al. · 0 citations

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