| Language models as knowledge bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019 main conference, 2019 | 1352 | 2019 |
| End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. Z Li, Y Zhang, Y Wei, Y Wu, Q Yang IJCAI, 2237-2243, 2017 | 212 | 2017 |
| Learning to extract coherent summary via deep reinforcement learning Y Wu, B Hu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 134 | 2018 |
| How Context Affects Language Models' Factual Predictions F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel AKBC 2020, 2020 | 117 | 2020 |
| Paq: 65 million probably-asked questions and what you can do with them P Lewis, Y Wu, L Liu, P Minervini, H Küttler, A Piktus, P Stenetorp, ... TACL, 2021 | 114 | 2021 |
| 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, 2021 | 52 | 2021 |
| Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Y Wu, M Gardner, P Stenetorp, P Dasigi ACL 2022 main conference, 2022 | 17 | 2022 |
| An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks Y Wu, Y Zhao, B Hu, P Minervini, P Stenetorp, S Riedel EMNLP 2022 main conference, 2022 | 4 | 2022 |
| Towards fine-grained causal reasoning and qa L Yang, Z Wang, Y Wu, J Yang, Y Zhang arXiv preprint arXiv:2204.07408, 2022 | 4 | 2022 |
| Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering Y Wu, S Riedel, P Minervini, P Stenetorp EMNLP 2020 main conference, 2020 | 4 | 2020 |
| Integrating user and agent models: A deep task-oriented dialogue system W Wang, Y Wu, Y Zhang, Z Lu, K Mo, Q Yang arXiv preprint arXiv:1711.03697, 2017 | 4 | 2017 |
| Medical Dialogue Response Generation with Pivotal Information Recalling Y Zhao, Y Li, Y Wu, B Hu, Q Chen, X Wang, Y Ding, M Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 1 | 2022 |
| Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints Y Wu, P Minervini, P Stenetorp, S Riedel ACL 2021 main conference, 2021 | 1 | 2021 |
| DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce W Zhu, Y Zhang, Y Zhang, Y Zhou, Y Feng, Y Wu, Q Da, A Zeng Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia …, 2022 | | 2022 |
Sebastian RiedelProfessor @ University College London, Researcher @ DeepMindBestätigte E-Mail-Adresse bei cs.ucl.ac.uk
