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...