- 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:
- SIGFinTech
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 70–74
- Language:
- URL:
- https://preview.aclanthology.org/more-markup/2025.finnlp-2.6/
- DOI:
- 10.18653/v1/2025.finnlp-2.6
- 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)
- PDF:
- https://preview.aclanthology.org/more-markup/2025.finnlp-2.6.pdf