Towards Efficient FinBERT via Quantization and Coreset for Financial Sentiment Analysis

Avinash Kumar Sharma, Aisha Hamad Hassan, Tushar Shinde


Anthology ID:
2025.finnlp-2.6
Volume:
Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Chung-Chi Chen, Genta Indra Winata, Stephen Rawls, Anirban Das, Hsin-Hsi Chen, Hiroya Takamura
Venue:
FinNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
70–74
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.6/
DOI:
Bibkey:
Cite (ACL):
Avinash Kumar Sharma, Aisha Hamad Hassan, and Tushar Shinde. 2025. Towards Efficient FinBERT via Quantization and Coreset for Financial Sentiment Analysis. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 70–74, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
Towards Efficient FinBERT via Quantization and Coreset for Financial Sentiment Analysis (Sharma et al., FinNLP 2025)
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PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.6.pdf