| 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 | 443 | 2023 |
| TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages JH Clark, E Choi, M Collins, D Garrette, T Kwiatkowski, V Nikolaev, ... Transactions of the Association for Computational Linguistics 8, 454-470, 2020 | 443 | 2020 |
| Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ... | 241 | 2018 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 132 | 2021 |
| Planning with learned entity prompts for abstractive summarization S Narayan, Y Zhao, J Maynez, G Simões, V Nikolaev, R McDonald Transactions of the Association for Computational Linguistics 9, 1475-1492, 2021 | 112* | 2021 |
| Measuring attribution in natural language generation models H Rashkin, V Nikolaev, M Lamm, L Aroyo, M Collins, D Das, S Petrov, ... Computational Linguistics 49 (4), 777-840, 2023 | 95 | 2023 |
| Improving homograph disambiguation with supervised machine learning K Gorman, G Mazovetskiy, V Nikolaev Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 34 | 2018 |
| SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets A Yuan, D Ippolito, V Nikolaev, C Callison-Burch, A Coenen, S Gehrmann arXiv preprint arXiv:2111.06467, 2021 | 17 | 2021 |
| Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 11 | 2022 |
| 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 | 10 | 2023 |
| SynthBio: A Case Study in Faster Curation of Text Datasets A Yuan, D Ippolito, V Nikolaev, C Callison-Burch, A Coenen, S Gehrmann Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 7 | 2021 |
| Za-perfectives in Russian motion verbs VV Nikolaev Georgetown University, 2012 | 7 | 2012 |
| Universal dependencies 2.0 (2017) J Nivre, Ž Agić, L Ahrenberg, MJ Aranzabe, M Asahara, A Atutxa, ... URL http://hdl. handle. net/11234/1-1983. LINDAT/CLARIN digital library at …, 0 | 7 | |
| 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 | 6 | 2024 |
| TaTa: A multilingual table-to-text dataset for African languages S Gehrmann, S Ruder, V Nikolaev, JA Botha, M Chavinda, A Parikh, ... arXiv preprint arXiv:2211.00142, 2022 | 2 | 2022 |
| The Morpho-syntactic Annotation of Animacy for a Dependency Parser M Attia, V Nikolaev, A Elkahky Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 1 | 2018 |
| AKTIONSARTEN AND TRANSITIVITY IN RUSSIAN ZA-PERFECTIVE VERBS VV Nikolaev ББК 81.2 я431 И 57, 210, 2011 | 1 | 2011 |
| Collocation of prefixes and prepositional phrases in Russian verbs of motion V Nikolaev | | |
