| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2833 | 2023 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 1312* | 2021 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1006 | 2024 |
| A unified game-theoretic approach to multiagent reinforcement learning M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ... Advances in neural information processing systems 30, 2017 | 810 | 2017 |
| Social influence as intrinsic motivation for multi-agent deep reinforcement learning N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, DJ Strouse, ... International conference on machine learning, 3040-3049, 2019 | 610 | 2019 |
| The LAMBADA dataset: Word prediction requiring a broad discourse context D Paperno, G Kruszewski, A Lazaridou, QN Pham, R Bernardi, S Pezzelle, ... arXiv preprint arXiv:1606.06031, 2016 | 599 | 2016 |
| Multi-agent cooperation and the emergence of (natural) language A Lazaridou, A Peysakhovich, M Baroni arXiv preprint arXiv:1612.07182, 2016 | 554 | 2016 |
| Improving zero-shot learning by mitigating the hubness problem G Dinu, A Lazaridou, M Baroni ICLR, Workshop Track, 2015 | 469 | 2015 |
| Experience grounds language Y Bisk, A Holtzman, J Thomason, J Andreas, Y Bengio, J Chai, M Lapata, ... arXiv preprint arXiv:2004.10151, 2020 | 432 | 2020 |
| Combining Language and Vision with a Multimodal Skip-gram Model A Lazaridou, NT Pham, M Baroni NAACL, 2015 | 371 | 2015 |
| Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning A Lazaridou, G Dinu, M Baroni Proceedings of ACL 1, 270--280, 2015 | 271 | 2015 |
| Mind the gap: Assessing temporal generalization in neural language models A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ... Advances in Neural Information Processing Systems 34, 29348-29363, 2021 | 269* | 2021 |
| Emergence of linguistic communication from referential games with symbolic and pixel input A Lazaridou, KM Hermann, K Tuyls, S Clark arXiv preprint arXiv:1804.03984, 2018 | 268 | 2018 |
| Learning and evaluating general linguistic intelligence D Yogatama, CM d'Autume, J Connor, T Kocisky, M Chrzanowski, L Kong, ... arXiv preprint arXiv:1901.11373, 2019 | 233* | 2019 |
| Internet-augmented language models through few-shot prompting for open-domain question answering A Lazaridou, E Gribovskaya, W Stokowiec, N Grigorev arXiv preprint arXiv:2203.05115, 2022 | 231 | 2022 |
| Emergent multi-agent communication in the deep learning era A Lazaridou, M Baroni arXiv preprint arXiv:2006.02419, 2020 | 231 | 2020 |
| Emergent communication through negotiation K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark arXiv preprint arXiv:1804.03980, 2018 | 201 | 2018 |
| Is this a wampimuk? cross-modal mapping between distributional semantics and the visual world A Lazaridou, E Bruni, M Baroni Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 152 | 2014 |
| Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics A Lazaridou, M Marelli, R Zamparelli, M Baroni Proceedings of ACL, Sofia, Bulgaria, 2013 | 150 | 2013 |
| The repeval 2017 shared task: Multi-genre natural language inference with sentence representations N Nangia, A Williams, A Lazaridou, SR Bowman arXiv preprint arXiv:1707.08172, 2017 | 114 | 2017 |
Marco BaroniICREA Professor (Barcelona)Verified email at upf.edu
