7 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 3 cited
Towards a Robust Retrieval-Based Summarization System
Shengjie Liu, Jing Wu, Jingyuan Bao +3
This paper describes an investigation of the robustness of large language models (LLMs) for retrieval augmented generation (RAG)-based summarization tasks. While LLMs provide summa…
cs.AI2023★ 7 cited
Abstractive Summarization of Large Document Collections Using GPT
Sengjie Liu, Christopher G. Healey
This paper proposes a method of abstractive summarization designed to scale to document collections instead of individual documents. Our approach applies a combination of semantic…