On Learning to Summarize with Large Language Models as References

1 code implementation • 23 May 2023 • Yixin Liu, Kejian Shi, Katherine S He, Longtian Ye, Alexander R. Fabbri, PengFei Liu, Dragomir Radev, Arman Cohan

Meanwhile, we perform a meta-analysis on this new learning setting that reveals a discrepancy between human and LLM-based evaluation, highlighting the benefits and risks of this LLM-as-reference setting we investigated.

Contrastive Learning Text Summarization