FINALE : Finance Domain Instruction-Tuning Dataset with High-Quality Rationales via Chain-of-Thought Prompting - ACL Anthology

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FINALE : Finance Domain Instruction-Tuning Dataset with High-Quality Rationales via Chain-of-Thought Prompting

Sangmin Lee, Suzie Oh, Saeran Park, Guijin Son, Pilsung Kang

Anthology ID:: 2024.finnlp-2.9
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:: 89–106
Language:
URL:: https://aclanthology.org/2024.finnlp-2.9
DOI:
Bibkey:
Cite (ACL):: Sangmin Lee, Suzie Oh, Saeran Park, Guijin Son, and Pilsung Kang. 2024. FINALE : Finance Domain Instruction-Tuning Dataset with High-Quality Rationales via Chain-of-Thought Prompting. In Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, pages 89–106, Jeju, South Korea. -.
Cite (Informal):: FINALE : Finance Domain Instruction-Tuning Dataset with High-Quality Rationales via Chain-of-Thought Prompting (Lee et al., FinNLP 2024)
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PDF:: https://preview.aclanthology.org/landing_page/2024.finnlp-2.9.pdf