| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 4508 | 2023 |
| 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 | 1490 | 2023 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1218 | 2023 |
| On faithfulness and factuality in abstractive summarization J Maynez, S Narayan, B Bohnet, R McDonald arXiv preprint arXiv:2005.00661, 2020 | 1085 | 2020 |
| Morphosyntactic tagging with a meta-BiLSTM model over context sensitive token encodings B Bohnet, R McDonald, G Simões, D Andor, E Pitler, J Maynez arXiv preprint arXiv:1805.08237, 2018 | 125 | 2018 |
| 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 | 108 | 2021 |
| Palm: Scaling language modeling with pathways. arXiv 2022 A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311 10, 2022 | 103 | 2022 |
| Focus attention: Promoting faithfulness and diversity in summarization R Aralikatte, S Narayan, J Maynez, S Rothe, R McDonald arXiv preprint arXiv:2105.11921, 2021 | 52 | 2021 |
| mface: Multilingual summarization with factual consistency evaluation R Aharoni, S Narayan, J Maynez, J Herzig, E Clark, M Lapata arXiv preprint arXiv:2212.10622, 2022 | 39 | 2022 |
| Stepwise extractive summarization and planning with structured transformers S Narayan, J Maynez, J Adamek, D Pighin, B Bratanič, R McDonald arXiv preprint arXiv:2010.02744, 2020 | 38 | 2020 |
| A thorough evaluation of task-specific pretraining for summarization S Rothe, J Maynez, S Narayan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 34 | 2021 |
| Conditional generation with a question-answering blueprint S Narayan, J Maynez, RK Amplayo, K Ganchev, A Louis, F Huot, ... Transactions of the Association for Computational Linguistics 11, 974-996, 2023 | 33 | 2023 |
| A well-composed text is half done! composition sampling for diverse conditional generation S Narayan, G Simões, Y Zhao, J Maynez, D Das, M Collins, M Lapata arXiv preprint arXiv:2203.15108, 2022 | 30 | 2022 |
| Benchmarking large language model capabilities for conditional generation J Maynez, P Agrawal, S Gehrmann arXiv preprint arXiv:2306.16793, 2023 | 23 | 2023 |
| 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 | 22 | 2023 |
| QAmeleon: Multilingual QA with Only 5 Examples P Agrawal, C Alberti, F Huot, J Maynez, J Ma, S Ruder, K Ganchev, D Das, ... Transactions of the Association for Computational Linguistics 11, 1754-1771, 2023 | 20 | 2023 |
| 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 | 15 | 2022 |
| Planning with entity chains for abstractive summarization S Narayan, Y Zhao, J Maynez, G Simoes, R McDonald arXiv preprint arXiv:2104.07606, 2021 | 14 | 2021 |
| Data augmentation for low-resource dialogue summarization Y Liu, J Maynez, G Simões, S Narayan Findings of the Association for Computational Linguistics: NAACL 2022, 703-710, 2022 | 13 | 2022 |
| On uncertainty calibration and selective generation in probabilistic neural summarization: A benchmark study P Zablotskaia, D Phan, J Maynez, S Narayan, J Ren, J Liu arXiv preprint arXiv:2304.08653, 2023 | 11 | 2023 |
Shashi NarayanGoogle DeepMind在 google.com 的电子邮件经过验证
