3 papers
cs.LG2026
Preserving Utility in Continual LLM Unlearning via Orthogonal Projections
Juan Belieni, Ana Carolina Erthal, Eliezer de Souza da Silva +1
Unlearning concerns the task of removing the influence of a sensitive portion of the training data, such as protected, copyrighted or private text, from a model without retraining…
cs.CL2026
MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese
Tiago Teixeira, Ana Carolina Erthal, Juan Belieni +5
The use of large language models (LLMs) for complex mathematical reasoning is an emergent area of research, with fast progress in methods, models, and benchmark datasets. However,…
cs.LG2025
Cooperative Sheaf Neural Networks
André Ribeiro, Ana Luiza Tenório, Juan Belieni +2
Sheaf diffusion has recently emerged as a promising design pattern for graph representation learning due to its inherent ability to handle heterophilic data and avoid oversmoothing…