LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu
- Anthology ID:
- 2024.findings-emnlp.279
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4852–4872
- Language:
- URL:
- https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.findings-emnlp.279/
- DOI:
- 10.18653/v1/2024.findings-emnlp.279
- Cite (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.
- Cite (Informal):
- LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall (Qi et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.findings-emnlp.279.pdf