| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR 2022 - Transactions on Machine Learning Research, 2023 | 2657 | 2023 |
| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... ICLR 2022 - International Conference on Learning Representations, 2022 | 2550 | 2022 |
| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 2471 | 2022 |
| Promptsource: An integrated development environment and repository for natural language prompts SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ... ACL 2022 (Demo) - Proceedings of the 60th Annual Meeting of the Association …, 2022 | 453 | 2022 |
| Accelerating Transformer Inference for Translation via Parallel Decoding A Santilli, S Severino, E Postolache, V Maiorca, M Mancusi, R Marin, ... ACL 2023 (Main) - Proceedings of the 61st Annual Meeting of the Association …, 2023 | 137 | 2023 |
| KERMIT: Complementing transformer architectures with encoders of explicit syntactic interpretations FM Zanzotto, A Santilli, L Ranaldi, D Onorati, P Tommasino, F Fallucchi EMNLP 2020 (Main) - Proceedings of the 2020 conference on empirical methods …, 2020 | 73 | 2020 |
| Camoscio: An italian instruction-tuned llama A Santilli, E Rodolà 🏆 CLiC-it 2023 - Proceedings of the 9th Italian Conference on Computational …, 2023 | 55 | 2023 |
| Preserving privacy in large language models: A survey on current threats and solutions M Miranda, ES Ruzzetti, A Santilli, FM Zanzotto, S Bratières, E Rodolà TMLR 2024 - Transactions on Machine Learning Research, 2024 | 49 | 2024 |
| Fauno: The Italian Large Language Model that will leave you senza parole! A Bacciu, G Trappolini, A Santilli, E Rodolà, F Silvestri IIR 2023 - Proceedings of the 13th Italian Information Retrieval Workshop, 2023 | 37 | 2023 |
| Efficient and effective uncertainty quantification for LLMs M Xiong, A Santilli, M Kirchhof, A Golinski, S Williamson Neurips Safe Generative AI Workshop 2024, 2024 | 25 | 2024 |
| Multimodal Neural Databases G Trappolini, A Santilli, E Rodolà, A Halevy, F Silvestri ACM SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference …, 2023 | 20 | 2023 |
| Latent autoregressive source separation E Postolache, G Mariani, M Mancusi, A Santilli, L Cosmo, E Rodola AAAI 2023 - Proceedings of the AAAI Conference on Artificial Intelligence 37 …, 2023 | 18 | 2023 |
| Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results A Santilli, A Golinski, M Kirchhof, F Danieli, A Blaas, M Xiong, L Zappella, ... ACL 2025 (Main), 2025 | 16 | 2025 |
| Language models are injective and hence invertible G Nikolaou, T Mencattini, D Crisostomi, A Santilli, Y Panagakis, E Rodolà ICLR 2026 - International Conference on Learning Representations, 2025 | 13 | 2025 |
| MERGE : Efficient Evolutionary Merging on Consumer-grade GPUs T Mencattini, AR Minut, D Crisostomi, A Santilli, E Rodola ICML 2025, 2025 | 13 | 2025 |
| A kernel-based approach for irony and sarcasm detection in Italian A Santilli, D Croce, R Basili EVALITA Evaluation of NLP and Speech Tools for Italian 12, 146, 2018 | 9 | 2018 |
| KERMITviz: Visualizing Neural Network Activations on Syntactic Trees L Ranaldi, F Fallucchi, A Santilli, FM Zanzotto Research Conference on Metadata and Semantics Research, 139-147, 2021 | 8 | 2021 |
| Unsupervised source separation via Bayesian inference in the latent domain M Mancusi, E Postolache, G Mariani, M Fumero, A Santilli, L Cosmo, ... arXiv preprint arXiv:2110.05313, 2021 | 8 | 2021 |
| Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces S Hadgi, L Moschella, A Santilli, D Gomez, Q Huang, E Rodolà, S Melzi, ... CVPR 2025 - Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2025 | 6 | 2025 |
| Explanatory learning: Beyond empiricism in neural networks A Norelli, G Mariani, L Moschella, A Santilli, G Parascandolo, S Melzi, ... arXiv preprint arXiv:2201.10222, 2022 | 6 | 2022 |
Emanuele RodolàProfessor, Sapienza University of Rome | Chief Scientist, ParadigmaVerified email at di.uniroma1.it
Fabio Massimo ZanzottoProfessor, University of Rome "Tor Vergata"Verified email at uniroma2.it
Donato CrisostomiEllis Ph.D. student, Sapienza University of Rome & University of CambridgeVerified email at di.uniroma1.it
Adam GolińskiAppleVerified email at apple.com
Valentino MaiorcaPostDoctoral Researcher at ISTAVerified email at di.uniroma1.it
Fabrizio SilvestriSapienza, University of RomeVerified email at uniroma1.it
Luca CosmoCa' Foscari University of VeniceVerified email at unive.it
Simone MelziAssociate Professor, Computer Science, University of Milano-BicoccaVerified email at unimib.it
Luca MoschellaAppleVerified email at apple.com
Roberto BasiliUniversity of Rome, Tor Vergata (Italy)Verified email at info.uniroma2.it
Alon HalevyGoogleVerified email at google.com
Giambattista ParascandoloOpenAIVerified email at openai.com