Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities
Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong
- Anthology ID:
- 2024.findings-emnlp.500
- 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:
- 8548–8572
- Language:
- URL:
- https://preview.aclanthology.org/add-emnlp-2024-awards/2024.findings-emnlp.500/
- DOI:
- 10.18653/v1/2024.findings-emnlp.500
- Cite (ACL):
- Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, and Hui Xiong. 2024. Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 8548–8572, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities (Li et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/add-emnlp-2024-awards/2024.findings-emnlp.500.pdf