| Language models as knowledge bases? F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel EMNLP 2019 main conference, 2019 | 2616 | 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 | 243 | 2017 |
| How Context Affects Language Models' Factual Predictions F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel AKBC 2020, 2020 | 221 | 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 | 193 | 2021 |
| Learning to extract coherent summary via deep reinforcement learning Y Wu, B Hu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 193 | 2018 |
| 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 | 73 | 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 | 62 | 2022 |
| G3Detector: General GPT-generated text detector H Zhan, X He, Q Xu, Y Wu, P Stenetorp arXiv preprint arXiv:2305.12680, 2023 | 21 | 2023 |
| Towards fine-grained causal reasoning and qa L Yang, Z Wang, Y Wu, J Yang, Y Zhang arXiv preprint arXiv:2204.07408, 2022 | 13 | 2022 |
| Using natural language explanations to improve robustness of in-context learning for natural language inference X He, Y Wu, OM Camburu, P Minervini, P Stenetorp arXiv preprint arXiv:2311.07556, 2023 | 6 | 2023 |
| 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 | 5 | 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 |
| Analysing The Impact of Sequence Composition on Language Model Pre-Training Y Zhao, Y Qu, K Staniszewski, S Tworkowski, W Liu, P Miłoś, Y Wu, ... arXiv preprint arXiv:2402.13991, 2024 | 3 | 2024 |
| Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints Y Wu, P Minervini, P Stenetorp, S Riedel ACL 2021 main conference, 2021 | 2 | 2021 |
| Using Natural Language Explanations to Improve Robustness of In-context Learning X He, Y Wu, OM Camburu, P Minervini, P Stenetorp Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | | 2024 |
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
