Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English

Author:

Zhang Xiao1ORCID,Xiang Ruoyu1ORCID,Yuan Chenhan2ORCID,Feng Duanyu3ORCID,Han Weiguang4ORCID,Lopez-Lira Alejandro5ORCID,Liu Xiao-Yang6ORCID,Qiu Meikang7ORCID,Ananiadou Sophia8ORCID,Peng Min4ORCID,Huang Jimin1ORCID,Xie Qianqian1ORCID

Affiliation:

1. The Fin AI, Singapore, Singapore

2. The University of Manchester, Manchester, United Kingdom

3. Sichuan University, Chengdu, Sichuan, China

4. Wuhan University, Wuhan, Hubei, China

5. University of Florida, Gainesville, USA

6. Columbia University, New York, NY, USA

7. Augusta University, Augusta, USA

8. Department of Computer Science, The University of Manchester & Artificial Intelligence Research Centre, Manchester, United Kingdom

Funder

National Science and Technology Major Project

General Program of Natural Science Foundation of China

the NextGenerationEU

Key R&D Project of Hubei Province

New Energy and Industrial Technology Development Organization

National Natural Science Foundation of China

Publisher

ACM

Reference43 articles.

1. 2023. IBERLEF 2023 Task - FinancES. Financial Targeted Sentiment Analysis in Spanish.

2. Julio Cesar Salinas Alvarado, Karin Verspoor, and Timothy Baldwin. 2015. Domain adaption of named entity recognition to support credit risk assessment. In Proceedings of the Australasian Language Technology Association Workshop 2015. 84--90.

3. Dogu Araci. 2019. Finbert: Financial sentiment analysis with pre-trained language models. arXiv preprint arXiv:1908.10063 (2019).

4. Wei Chen Qiushi Wang Zefei Long Xianyin Zhang Zhongtian Lu Bingxuan Li Siyuan Wang Jiarong Xu Xiang Bai Xuanjing Huang and Zhongyu Wei. 2023. DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning. arxiv: 2310.15205 [cs.CL]

5. FinQA: A Dataset of Numerical Reasoning over Financial Data

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