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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Guan-Lin Chao, Abhinav Rastogi, Semih Yavuz |
| 2019 |
| arxiv 1907.13280 |
| Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding | Akira Fukui, Dong Huk Park, Daylen Yang | 2016 | arxiv 1606.01847 |
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| SciEGQA: A Dataset for Scientific Evidence-Grounded Question Answering and Reasoning | Wenhan Yu, Zhaoxi Zhang, Wang Chen | 2025 | arxiv 2511.15090 |
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| An Interpretable Reasoning Network for Multi-Relation Question Answering | Mantong Zhou, Minlie Huang, Xiaoyan Zhu | 2018 | arxiv 1801.04726 |
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| Dr. Tux: A Question Answering System for Ubuntu users | Bijil Abraham Philip, Manas Jog, Apurv Milind Upasani | 2018 | arxiv 1808.08357 |
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| Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 | Suhas Gupta | 2019 | arxiv 1908.01767 |
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| Generalizable Neuro-symbolic Systems for Commonsense Question Answering | Alessandro Oltramari, Jonathan Francis, Filip Ilievski | 2022 | arxiv 2201.06230 |
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| Machine Translation Evaluation Meets Community Question Answering | Francisco Guzmán, Lluís Màrquez, Preslav Nakov | 2019 | arxiv 1912.02998 |
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| Watsonsim: Overview of a Question Answering Engine | Sean Gallagher, Wlodek Zadrozny, Walid Shalaby | 2014 | arxiv 1412.0879 |
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| Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network | Phong-Khac Do, Huy-Tien Nguyen, Chien-Xuan Tran | 2017 | arxiv 1703.05320 |
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