| Open domain question answering using early fusion of knowledge bases and text H Sun, B Dhingra, M Zaheer, K Mazaitis, R Salakhutdinov, WW Cohen 2018 Conference on Empirical Methods in Natural Language Processing, 4231–4242, 2018 | 478 | 2018 |
| Pullnet: Open domain question answering with iterative retrieval on knowledge bases and text H Sun, T Bedrax-Weiss, WW Cohen 2019 Conference on Empirical Methods in Natural Language Processing and the …, 2019 | 353 | 2019 |
| Facts as experts: Adaptable and interpretable neural memory over symbolic knowledge P Verga, H Sun, LB Soares, WW Cohen arXiv preprint arXiv:2007.00849, 2020 | 109 | 2020 |
| Faithful embeddings for knowledge base queries H Sun, A Arnold, T Bedrax Weiss, F Pereira, WW Cohen Advances in Neural Information Processing Systems 33, 22505-22516, 2020 | 94 | 2020 |
| Lego: Latent execution-guided reasoning for multi-hop question answering on knowledge graphs H Ren, H Dai, B Dai, X Chen, M Yasunaga, H Sun, D Schuurmans, ... International Conference on Machine Learning, 8959-8970, 2021 | 79 | 2021 |
| Scalable neural methods for reasoning with a symbolic knowledge base WW Cohen, H Sun, RA Hofer, M Siegler International Conference on Learning Representations, 2020 | 68 | 2020 |
| Differentiable open-ended commonsense reasoning BY Lin, H Sun, B Dhingra, M Zaheer, X Ren, WW Cohen Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 39 | 2021 |
| Can pre-trained vision and language models answer visual information-seeking questions? Y Chen, H Hu, Y Luan, H Sun, S Changpinyo, A Ritter, MW Chang arXiv preprint arXiv:2302.11713, 2023 | 37 | 2023 |
| Conditionalqa: A complex reading comprehension dataset with conditional answers H Sun, WW Cohen, R Salakhutdinov Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 29 | 2022 |
| Reasoning over virtual knowledge bases with open predicate relations H Sun, P Verga, B Dhingra, R Salakhutdinov, WW Cohen International Conference on Machine Learning, 9966-9977, 2021 | 23 | 2021 |
| Iterative hierarchical attention for answering complex questions over long documents H Sun, WW Cohen, R Salakhutdinov arXiv preprint arXiv:2106.00200, 2021 | 23* | 2021 |
| Reasoning over logically interacted conditions for question answering H Sun, WW Cohen, R Salakhutdinov arXiv preprint arXiv:2205.12898, 2022 | 5 | 2022 |
| Gender differences in multimodal contact-free deception detection M Abouelenien, M Burzo, V Pérez-Rosas, R Mihalcea, H Sun, B Zhao IEEE MultiMedia 26 (3), 19-30, 2018 | 5 | 2018 |
| Semi-supervised learning with declaratively specified entropy constraints H Sun, WW Cohen, L Bing Advances in Neural Information Processing Systems 31, 2018 | 5 | 2018 |
| Investigating the effect of background knowledge on natural questions V Balachandran, B Dhingra, H Sun, M Collins, W Cohen Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on …, 2021 | 4 | 2021 |
| SEMQA: Semi-Extractive Multi-Source Question Answering T Schuster, AD Lelkes, H Sun, J Gupta, J Berant, WW Cohen, D Metzler arXiv preprint arXiv:2311.04886, 2023 | 2 | 2023 |
| Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions H Sun, WW Cohen, R Salakhutdinov arXiv preprint arXiv:2308.08661, 2023 | 2 | 2023 |
| Automatic question-answer generation for long-tail knowledge R Kumar, Y Kim, S Ravi, H Sun, C Faloutsos, R Salakhutdinov, M Yoon arXiv preprint arXiv:2403.01382, 2024 | 1 | 2024 |
| Answering natural-language questions with neuro-symbolic knowledge bases H Sun, P Verga, WW Cohen Neuro-Symbolic Artificial Intelligence: The State of the Art, 126-145, 2021 | 1 | 2021 |
| NEURAL REASONING FOR QUESTION ANSWERING H Sun University of Washington, 2023 | | 2023 |
William W. CohenCMU and Google DeepMindVerified email at google.com
