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://aclanthology.org/2024.emnlp-main.935
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/2024.emnlp-main.935.pdf