NIL-UCM at PROFE 2026: Prompting, Fine-Tuning and Multi-Agent Strategies for Reading Comprehension
It is demonstrated that smaller models can efficiently handle complex language assessments, suggesting dynamic routing to balance performance with sustainable deployment in educational technology.
Pablo Folgueira, Sandra Conde, Alberto Díaz
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