Narrative-UFET shows that adding controlled synthetic narrative context improves ultra-fine entity typing on long-tail types over sentence-level baselines, with type-changing narratives providing stronger gains than natural contexts.
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MADRAG combines multi-agent debate with retrieval-augmented generation to produce training-free analytic essay scores that outperform prompt baselines and approach supervised systems.
LLM-based tool scored 1,200 SoPs for an undergraduate research program using GPT models and a rubric, enabling coordinator shortlisting in 4 hours versus prior multi-week effort.