Sep 2026· mLAC Journal for Arts Commerce and Sciences (m-JACS) ISSN 2584-1920
Abstract
In the monetary economy, banks and financial institutions were established for money creation. Both organised and unorganized sector have a mushroom growth of development in capital and money market. Apart from banks and financial institutions, stock markets were established in Metro-Politian cities. In the developing economy like India, shortage of finance is the major problem for the budding entrepreneurs. Traditionally, the work of finance managers are limited to maintain the accounts of the business only. Now, the function of finance manager is to acquire finance and utilization of finance. In the modern economy, Artificial Intelligence is a boon to finance managers to find out the new sources of finance and investment of finance in proper avenues. The objectives of the study are to know about the benefits of AI in financial management, to study the methods through which AI is used by financial institutions, to identify the stakeholders of AI in finance and to predict the future trends of AI in finance.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations of such models.
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.
Jinhe Bi, Yifan Wang, Danqi Yan et al.· arXiv.org· 73 citations· ⚡4
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
This paper designs Markov decision processes (MDPs) for different combinatorial problems and proposes to train conditional GFlowNets to sample from the solution space and demonstrates that GFlowNet policies can efficiently find high-quality solutions.
Dinghuai Zhang, H. Dai, Esmeralda S. Whitammer et al.· Advances in Neural Informati...· 59 citations· ⚡8
An empirical study on the current state of practice in artificial intelligence ethics is conducted by means of a multiple case study of five case companies, which indicates a gap between research and practice in the area.
Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen et al.· arXiv.org· 56 citations· ⚡6
