NARDINI, FRANCO MARIA
NARDINI, FRANCO MARIA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
ChatGPT versus modest large language models: an extensive study on benefits and drawbacks for conversational search
2025 Rocchietti, G.; Rulli, C.; Nardini, F. M.; Muntean, CRISTINA-IOANA; Perego, R.; Frieder, O.
Explainable, effective, and efficient learning-to-rank models using ILMART
2025 Lucchese, C.; Nardini, F. M.; Orlando, S.; Perego, R.; Veneri, A.
Neural network compression using binarization and few full-precision weights
2025 Nardini, F. M.; Rulli, C.; Trani, S.; Venturini, R.
Bridging dense and sparse maximum inner product search
2024 Bruch, S.; Nardini, F. M.; Ingber, A.; Liberty, E.
Learning bivariate scoring functions for ranking
2024 Nardini, F. M.; Trani, R.; Venturini, R.
Report on the 13th Italian Information Retrieval Workshop (IIR 2023)
2024 Faggioli, G.; Ferrara, A.; Nardini, F. M.; Tonellotto, N.
Special section on efficiency in neural information retrieval
2024 Bruch, S.; Lucchese, C.; Maistro, M.; Nardini, F. M.
An approximate algorithm for maximum inner product search over streaming sparse vectors
2023 Bruch S.; Nardini F.M.; Ingber A.; Liberty E.
An optimal algorithm for finding champions in tournament graphs
2023 Beretta, L.; Nardini, F. M.; Trani, R.; Venturini, R.
Early exit strategies for learning-to-rank cascades
2023 Busolin, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Trani, S
Efficient and effective tree-based and neural learning to rank
2023 Bruch, S; Lucchese, C; Nardini, Fm
Caching historical embeddings in conversational search
2022 Frieder, O.; Mele, I.; Muntean, C.; Nardini, F. M.; Perego, R.; Tonellotto, N.
Distilled neural networks for efficient learning to rank
2022 Nardini, Fm; Rulli, C; Trani, S; Venturini, R
Dynamic hard pruning of Neural Networks at the edge of the internet
2022 Valerio L.; Nardini F.M.; Passarella A.; Perego R.
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022
2022 Bruch S.; Lucchese C.; Nardini F.M.
Adaptive utterance rewriting for conversational search
2021 Mele, I; Muntean, Ci; Nardini, Fm; Perego, R; Tonellotto, N; Frieder, O
Efficient traversal of decision tree ensembles with FPGAs
2021 Molina, R; Loor, F; Gilcosta, V; Nardini, Fm; Perego, R; Trani, S
Fast filtering of search results sorted by attribute
2021 Nardini F.M.; Trani R.; Venturini R.
Neural network quantization in federated learning at the edge
2021 Tonellotto, N; Gotta, A; Nardini, Fm; Gadler, D; Silvestri, F
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems
2020 Melo Junior, L.; Nardini, F. M.; Renso, C.; Trani, R.; Macedo, J. A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| ChatGPT versus modest large language models: an extensive study on benefits and drawbacks for conversational search | 1-gen-2025 | Rocchietti, G.; Rulli, C.; Nardini, F. M.; Muntean, CRISTINA-IOANA; Perego, R.; Frieder, O. | |
| Explainable, effective, and efficient learning-to-rank models using ILMART | 1-gen-2025 | Lucchese, C.; Nardini, F. M.; Orlando, S.; Perego, R.; Veneri, A. | |
| Neural network compression using binarization and few full-precision weights | 1-gen-2025 | Nardini, F. M.; Rulli, C.; Trani, S.; Venturini, R. | |
| Bridging dense and sparse maximum inner product search | 1-gen-2024 | Bruch, S.; Nardini, F. M.; Ingber, A.; Liberty, E. | |
| Learning bivariate scoring functions for ranking | 1-gen-2024 | Nardini, F. M.; Trani, R.; Venturini, R. | |
| Report on the 13th Italian Information Retrieval Workshop (IIR 2023) | 1-gen-2024 | Faggioli, G.; Ferrara, A.; Nardini, F. M.; Tonellotto, N. | |
| Special section on efficiency in neural information retrieval | 1-gen-2024 | Bruch, S.; Lucchese, C.; Maistro, M.; Nardini, F. M. | |
| An approximate algorithm for maximum inner product search over streaming sparse vectors | 1-gen-2023 | Bruch S.; Nardini F.M.; Ingber A.; Liberty E. | |
| An optimal algorithm for finding champions in tournament graphs | 1-gen-2023 | Beretta, L.; Nardini, F. M.; Trani, R.; Venturini, R. | |
| Early exit strategies for learning-to-rank cascades | 1-gen-2023 | Busolin, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Trani, S | |
| Efficient and effective tree-based and neural learning to rank | 1-gen-2023 | Bruch, S; Lucchese, C; Nardini, Fm | |
| Caching historical embeddings in conversational search | 1-gen-2022 | Frieder, O.; Mele, I.; Muntean, C.; Nardini, F. M.; Perego, R.; Tonellotto, N. | |
| Distilled neural networks for efficient learning to rank | 1-gen-2022 | Nardini, Fm; Rulli, C; Trani, S; Venturini, R | |
| Dynamic hard pruning of Neural Networks at the edge of the internet | 1-gen-2022 | Valerio L.; Nardini F.M.; Passarella A.; Perego R. | |
| Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022 | 1-gen-2022 | Bruch S.; Lucchese C.; Nardini F.M. | |
| Adaptive utterance rewriting for conversational search | 1-gen-2021 | Mele, I; Muntean, Ci; Nardini, Fm; Perego, R; Tonellotto, N; Frieder, O | |
| Efficient traversal of decision tree ensembles with FPGAs | 1-gen-2021 | Molina, R; Loor, F; Gilcosta, V; Nardini, Fm; Perego, R; Trani, S | |
| Fast filtering of search results sorted by attribute | 1-gen-2021 | Nardini F.M.; Trani R.; Venturini R. | |
| Neural network quantization in federated learning at the edge | 1-gen-2021 | Tonellotto, N; Gotta, A; Nardini, Fm; Gadler, D; Silvestri, F | |
| A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems | 1-gen-2020 | Melo Junior, L.; Nardini, F. M.; Renso, C.; Trani, R.; Macedo, J. A. |