publications

For a full list refer to my Google Scholar page.

2025

  1. Reasoning or Over-Thinking: Evaluating Large Language Models on Financial Sentiment Analysis
    Dimitris Vamvourellis, and Dhagash Mehta
    arXiv preprint arXiv:2506.04574, 2025
    PDF

2024

  1. Company Similarity Using Large Language Models
    Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, and 3 more authors
    In 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), 2024
    PDF
  2. A Natural Way of Building Financial-Domain Expert Agents
    Gagandeep Singh Kaler, Dimitrios Vamvourellis, Deran Onay, and 3 more authors
    In ACM ICAIF 2024 Workshop “From Prototype to Production”, 2024
    PDF
  3. Enhanced Local Explainability and Trust Scores with Random-Forest Proximities
    Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, and 4 more authors
    In Proceedings of the 5th ACM International Conference on AI in Finance, 2024
    PDF

2022

  1. Learning Mutual-Fund Categorization Using Natural Language Processing
    Dimitrios Vamvourellis, Mate Toth, Dhruv Desai, and 2 more authors
    In Proceedings of the Third ACM International Conference on AI in Finance, 2022
    PDF

2020

  1. BaCOUn: Bayesian Classifiers with Out-of-Distribution Uncertainty
    Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby, and 2 more authors
    arXiv preprint arXiv:2007.06096, 2020
    PDF