Revelata at the FinLLM Challenge Task: Improving Financial Text Summarization by Restricted Prompt Engineering and Fine-tuning

Ken Kawamura, Zeqian Li, Chit-Kwan Lin, Bradley McDanel


Anthology ID:
2024.finnlp-2.15
Volume:
Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning
Month:
3 August
Year:
2024
Address:
Jeju, South Korea
Editors:
Chung-Chi Chen, Tatsuya Ishigaki, Hiroya Takamura, Akihiko Murai, Suzuko Nishino, Hen-Hsen Huang, Hsin-Hsi Chen
Venue:
FinNLP
SIG:
Publisher:
-
Note:
Pages:
146–152
Language:
URL:
https://aclanthology.org/2024.finnlp-2.15
DOI:
Bibkey:
Cite (ACL):
Ken Kawamura, Zeqian Li, Chit-Kwan Lin, and Bradley McDanel. 2024. Revelata at the FinLLM Challenge Task: Improving Financial Text Summarization by Restricted Prompt Engineering and Fine-tuning. In Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, pages 146–152, Jeju, South Korea. -.
Cite (Informal):
Revelata at the FinLLM Challenge Task: Improving Financial Text Summarization by Restricted Prompt Engineering and Fine-tuning (Kawamura et al., FinNLP 2024)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/2024.finnlp-2.15.pdf