Papers by Leonardo Piano
KE-MHISTO: Towards a Multilingual Historical Knowledge Extraction Benchmark for Addressing the Long-Tail Problem (2025.findings-acl)
Copied to clipboard
Arianna Graciotti, Leonardo Piano, Nicolas Lazzari, Enrico Daga, Rocco Tripodi, Valentina Presutti, Livio Pompianu
| Challenge: | Large Language Models struggle when probed for long-tail knowledge due to the inherent sparsity of such data. |
| Approach: | They propose a multilingual benchmark for Entity Linking and Question Answering in the domain of historical music knowledge that provides broader coverage of long-tail knowledge. |
| Outcome: | The proposed model provides broader coverage of long-tail knowledge compared to existing models. |