| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1488 | 2023 |
| MolGAN: An implicit generative model for small molecular graphs N De Cao, T Kipf ICML 2018 - Proceedings of the 35th International Conference on Machine …, 2018 | 1148 | 2018 |
| Hyperspherical Variational Auto-Encoders TR Davidson, L Falorsi, N De Cao, T Kipf, JM Tomczak UAI 2018 - 34th Conference on Uncertainty in Artificial Intelligence, 2018 | 483 | 2018 |
| Autoregressive Entity Retrieval N De Cao, G Izacard, S Riedel, F Petroni ICLR 2021 - Proceedings of the 9th International Conference on Learning …, 2020 | 482 | 2020 |
| KILT: a Benchmark for Knowledge Intensive Language Tasks F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ... NAACL 2021 - Conference of the North American Chapter of the Association for …, 2020 | 462 | 2020 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 358 | 2024 |
| Editing Factual Knowledge in Language Models N De Cao, W Aziz, I Titov EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 345 | 2021 |
| Question Answering by Reasoning Across Documents with Graph Convolutional Networks N De Cao, W Aziz, I Titov NAACL 2019 - Conference of the North American Chapter of the Associationfor …, 2019 | 290 | 2019 |
| Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking MS Schlichtkrull, N De Cao, I Titov ICLR 2021 - Proceedings of the 9th International Conference on Learning …, 2020 | 250 | 2020 |
| Block Neural Autoregressive Flow N De Cao, I Titov, W Aziz UAI 2019 - 35th Conference on Uncertainty in Artificial Intelligence, 2019 | 140 | 2019 |
| Multilingual autoregressive entity linking N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ... Transactions of the Association for Computational Linguistics 10, 274-290, 2022 | 126 | 2022 |
| Explorations in Homeomorphic Variational Auto-Encoding L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ... ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018 | 126 | 2018 |
| How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking N De Cao, M Schlichtkrull, W Aziz, I Titov EMNLP 2020 - Proceedings of the 2020 Conference on Empirical Methods in …, 2020 | 83 | 2020 |
| NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... NeurIPS 2020 - Proceedings of the NeurIPS 2020 Competition and Demonstration …, 2021 | 75 | 2021 |
| GenIE: Generative Information Extraction M Josifoski, N De Cao, M Peyrard, R West NAACL 2022 - Conference of the North American Chapter of the Association for …, 2021 | 61 | 2021 |
| Highly Parallel Autoregressive Entity Linking with Discriminative Correction N De Cao, W Aziz, I Titov EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 42 | 2021 |
| A Memory Efficient Baseline for Open Domain Question Answering G Izacard, F Petroni, L Hosseini, N De Cao, S Riedel, E Grave arXiv preprint arXiv:2012.15156, 2020 | 38 | 2020 |
| The Power Spherical distribution N De Cao, W Aziz ICML 2020 - Proceedings of the 37th International Conference on Machine …, 2020 | 34 | 2020 |
| Sparse Interventions in Language Models with Differentiable Masking N De Cao, L Schmid, D Hupkes, I Titov EMNLP 2021 - Proceedings of the 2021 Conference on Empirical Methods in …, 2021 | 24 | 2021 |
| Querying large language models with SQL M Saeed, N De Cao, P Papotti arXiv preprint arXiv:2304.00472, 2023 | 21 | 2023 |
Thomas KipfStaff Research Scientist, Google DeepMindVerified email at google.com
