4 papers
AdamX: Cosine similarity meets gradient descent
Francisco Caldas, Ruben Belo, Cláudia Soares
We introduce AdamX, a first-order optimizer that incorporates cosine similarity as an adaptive mechanism for controlling update magnitudes. The proposed method is scalable, model-a…
CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks
Francisco Caldas, Sahil Satish Kumar, Ruben Belo +1
Explainable Artificial Intelligence aims to make black-box models more trustworthy by presenting, in a human-understandable manner, the elements that lead to the model's output. Th…
A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations
Ruben Belo, Marta Guimarães, Cláudia Soares
The rapid expansion of space activities has led to an unprecedented accumulation of technical documentation, operational guidelines, and scientific literature, creating challenges…
Keep Calm and Avoid Harmful Content: Concept Alignment and Latent Manipulation Towards Safer Answers
Ruben Belo, Marta Guimaraes, Claudia Soares
Large Language Models are susceptible to jailbreak attacks that bypass built-in safety guardrails (e.g., by tricking the model with adversarial prompts). We propose Concept Alignme…