2 papers
cs.CE2026
Large Language Models, Encoder Architectures and Hybrid Approaches for Patent Classification
Lorenzo Emer, Marco Lippi, Andrea Mina +1
Automated patent classification is essential for organizing technological knowledge and constructing indicators of technological change, specialization, and leadership. To identify…
cs.AI2025
Testing Transformer Learnability on the Arithmetic Sequence of Rooted Trees
Alessandro Breccia, Federica Gerace, Marco Lippi +2
We study whether a transformer network can learn the deterministic sequence of trees generated by the iterated prime factorization of the natural numbers. Each integer is mapped in…