| Distilled neural networks for efficient learning to rank FM Nardini, C Rulli, S Trani, R Venturini IEEE Transactions on Knowledge and Data Engineering 35 (5), 4695-4712, 2022 | 17 | 2022 |
| Efficient Multi-Vector Dense Retrieval Using Bit Vectors FM Nardini, C Rulli, R Venturini arXiv preprint arXiv:2404.02805, 2024 | 5* | 2024 |
| Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations S Bruch, FM Nardini, C Rulli, R Venturini Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Neural Network Compression using Binarization and Few Full-Precision Weights FM Nardini, C Rulli, S Trani, R Venturini arXiv preprint arXiv:2306.08960, 2023 | 1 | 2023 |
| Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations S Bruch, FM Nardini, C Rulli, R Venturini arXiv preprint arXiv:2408.04443, 2024 | | 2024 |
| PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence-Welcome and Committees P Angelov, ML Bernardi, FM Nardini, R Pecori, L Valerio, P Dini, S Ashraf, ... 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | | 2024 |
| Efficient and Effective Multi-Vector Dense Retrieval with EMVB FM Nardini, C Rulli, R Venturini | | 2024 |
| On Improving Efficiency/Effectiveness trade-offs with Neural Network Compression C RULLI | | 2023 |
Franco Maria NardiniSenior Researcher, ISTI-CNR, Pisa, ItalyVerified email at isti.cnr.it
