| BLEURT: Learning robust metrics for text generation T Sellam, D Das, AP Parikh arXiv preprint arXiv:2004.04696, 2020 | 1165 | 2020 |
| 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 | 900 | 2023 |
| 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 | 143 | 2024 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 129 | 2021 |
| Repairing the cracked foundation: A survey of obstacles in evaluation practices for generated text S Gehrmann, E Clark, T Sellam Journal of Artificial Intelligence Research 77, 103-166, 2023 | 118 | 2023 |
| Sticking to the facts: Confident decoding for faithful data-to-text generation R Tian, S Narayan, T Sellam, AP Parikh arXiv preprint arXiv:1910.08684, 2019 | 85 | 2019 |
| The MultiBERTs: BERT Reproductions for Robustness Analysis T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ... arXiv preprint arXiv:2106.16163, 2021 | 80 | 2021 |
| Meet Charles, big data query advisor. T Sellam, ML Kersten CIDR 13, 1-1, 2013 | 74 | 2013 |
| Learning compact metrics for MT A Pu, HW Chung, AP Parikh, S Gehrmann, T Sellam arXiv preprint arXiv:2110.06341, 2021 | 67 | 2021 |
| Combining Design and Performance in a Data Visualization Management System E Wu, F Psallidas, Z Miao, H Zhang, L Rettig, Y Wu, T Sellam | 41 | 2017 |
| A multilingual view of unsupervised machine translation X Garcia, P Foret, T Sellam, AP Parikh arXiv preprint arXiv:2002.02955, 2020 | 39 | 2020 |
| Learning to evaluate translation beyond English: BLEURT submissions to the WMT metrics 2020 shared task T Sellam, A Pu, HW Chung, S Gehrmann, Q Tan, M Freitag, D Das, ... arXiv preprint arXiv:2010.04297, 2020 | 38 | 2020 |
| Deepbase: Deep inspection of neural networks T Sellam, K Lin, I Huang, M Yang, C Vondrick, E Wu Proceedings of the 2019 International Conference on Management of Data, 1117 …, 2019 | 28 | 2019 |
| Cluster-driven navigation of the query space T Sellam, M Kersten IEEE Transactions on Knowledge and Data Engineering 28 (5), 1118-1131, 2016 | 27 | 2016 |
| Quantitative information extraction from social data O Alonso, T Sellam The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 19 | 2018 |
| Mining precision interfaces from query logs Q Zhang, H Zhang, T Sellam, E Wu Proceedings of the 2019 International Conference on Management of Data, 988-1005, 2019 | 18 | 2019 |
| X-device query processing by bitwise distribution H Pirk, T Sellam, S Manegold, M Kersten Proceedings of the Eighth International Workshop on Data Management on New …, 2012 | 18 | 2012 |
| SEAHORSE: A multilingual, multifaceted dataset for summarization evaluation E Clark, S Rijhwani, S Gehrmann, J Maynez, R Aharoni, V Nikolaev, ... arXiv preprint arXiv:2305.13194, 2023 | 16 | 2023 |
| Ziggy: Characterizing Query Results for Data Explorers T Sellam, M Kersten Proceedings of the VLDB Endowment 9 (13), 1473-1476, 2016 | 14 | 2016 |
| Raimond: Quantitative data extraction from twitter to describe events T Sellam, O Alonso Engineering the Web in the Big Data Era: 15th International Conference, ICWE …, 2015 | 12 | 2015 |
