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U S and S Z: Unified Model and Diverse Benchmark For Few-Shot Summarization by JWHC CORUMANA PROJECT is a document available to read on EtoBox.

What is U S and S Z: Unified Model and Diverse Benchmark For Few-Shot Summarization about?

The document introduces U NI S UMM, a unified few-shot summarization model that leverages multi-task pre-training and prefix-tuning to improve performance across various summarization tasks. It also presents S UMM Z OO, a new benchmark for evaluating few-shot summarization systems, consisting of diverse tasks and multiple few-shot samples. Experimental results demonstrate that U NI S UMM significantly outperforms existing models, including GPT-3.5, in both automatic and human evaluations.

Author

JWHC CORUMANA PROJECT

Language

EN