Skip to content

AIDA-BR/LLM4FinComm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Language Models for Automated Market
Commentary from Corporate Disclosures

This repository contains the code, the LLM4FinComm dataset, and additional resources associated with the paper Language Models for Automated Market Commentary from Corporate Disclosures, accepted for publication at The 6th ACM International Conference on AI in Finance (ICAIF ’25).


CITING

Gabriel Assis, Hugo Dutra, Daniela Vianna, Wagner Meira Júnior, Altigran Soares da Silva, and Aline Paes. 2025. Language Models for Automated Market Commentary from Corporate Disclosures. In Proceedings of the 6th ACM International Conference on AI in Finance (ICAIF '25). Association for Computing Machinery, New York, NY, USA, 727–735. https://doi.org/10.1145/3768292.3770438


BIBTEX

@inproceedings{LLMsForCommentaries-ICAIF25,
    author = {Assis, Gabriel and Dutra, Hugo and Vianna, Daniela and Meira, Wagner, J\'{u}nior and da Silva, Altigran Soares and Paes, Aline},
    title = {Language Models for Automated Market Commentary from Corporate Disclosures},
    year = {2025},
    isbn = {9798400722202},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3768292.3770438},
    doi = {10.1145/3768292.3770438},
    pages = {727–735},
    numpages = {9},
    keywords = {Large Language Models, Natural Language Evaluation, Financial Commentary Generation},
    location = {Singapore, Singapore},
    series = {ICAIF '25}
}
  

FUNDING

This research was financed by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), the Instituto Nacional de Inteligência Artificial (INCT IAIA), and the Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ, processes SEI-260003/002930/2024 and SEI-260003/000614/2023), as well as by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) – Finance Code 001. This work was also supported by credits from a Cohere Labs Research Grant, by Google Cloud Research Credits (award GCP19980904), and by the Maritaca AI credits program.


About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •