HULAT2 submitted three runs to the Spanish MER-TRANS 2026 track; a LangGraph multi-agent workflow with internal quality signals achieved the best SARI score (44.05) among them, outperforming a linear regeneration baseline.
Saggion, Automatic Text Simplification, Synthesis Lectures on Human Language Technologies, Springer Cham, 2017
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HULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read Generation
HULAT2 submitted three runs to the Spanish MER-TRANS 2026 track; a LangGraph multi-agent workflow with internal quality signals achieved the best SARI score (44.05) among them, outperforming a linear regeneration baseline.