Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty
- Anthology ID:
- 2024.emnlp-main.935
- Volume:
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 16820–16842
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2024.emnlp-main.935/
- DOI:
- 10.18653/v1/2024.emnlp-main.935
- Cite (ACL):
- Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, and Tanmoy Chakraborty. 2024. Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 16820–16842, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done! (Patel et al., EMNLP 2024)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2024.emnlp-main.935.pdf