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%0 Conference Proceedings
%T LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
%A Qi, Zehan
%A Xu, Rongwu
%A Guo, Zhijiang
%A Wang, Cunxiang
%A Zhang, Hao
%A Xu, Wei
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F qi-etal-2024-long2rag
%U https://aclanthology.org/2024.findings-emnlp.279
%P 4852-4872

Markdown (Informal)

[LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall](https://aclanthology.org/2024.findings-emnlp.279) (Qi et al., Findings 2024)

• LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall (Qi et al., Findings 2024)

ACL

• Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, and Wei Xu. 2024. LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 4852–4872, Miami, Florida, USA. Association for Computational Linguistics.