Christos Thrampoulidis

A look into how transformers use attention layers for better language processing.

Introducing CAP to improve fairness and efficiency in machine learning models.

Examining self-attention and gradient descent in transformer models.

Examining biases in next-token prediction and their impact on model performance.

A deep dive into how next-token prediction shapes language understanding in models.