5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
Dimitris Vamvourellis, Dhagash Mehta
We investigate the effectiveness of large language models (LLMs), including reasoning-based and non-reasoning models, in performing zero-shot financial sentiment analysis. Using th…
stat.ML2020★ 5 cited
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty
Théo Guénais, Dimitris Vamvourellis, Yaniv Yacoby +2
Traditional training of deep classifiers yields overconfident models that are not reliable under dataset shift. We propose a Bayesian framework to obtain reliable uncertainty estim…