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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2022 |
| arxiv 2202.04306 |
| Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions | Gengchen Mai, Krzysztof Janowicz, Rui Zhu | 2021 | arxiv 2105.09392 |
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| Open-Retrieval Conversational Question Answering | Chen Qu, Liu Yang, Cen Chen | 2020 | arxiv 2005.11364 |
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| VoQA: Visual-only Question Answering | Jianing An, Luyang Jiang, Jie Luo | 2025 | arxiv 2505.14227 |
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| Sponsored Question Answering | Tommy Mordo, Moshe Tennenholtz, Oren Kurland | 2024 | arxiv 2407.04471 |
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| Question answering using deep learning in low resource Indian language Marathi | Dhiraj Amin, Sharvari Govilkar, Sagar Kulkarni | 2023 | arxiv 2309.15779 |
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| Focal Visual-Text Attention for Visual Question Answering | Junwei Liang, Lu Jiang, Liangliang Cao | 2018 | arxiv 1806.01873 |
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| Exploring Hybrid Question Answering via Program-based Prompting | Qi Shi, Han Cui, Haofeng Wang | 2024 | arxiv 2402.10812 |
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| Semantic Web Enabled Geographic Question Answering Framework: GeoTR | Ceren Ocal Tasar, Murat Komesli, Murat Osman Unalir | 2023 | arxiv 2301.04752 |
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| Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset | Tilahun Abedissa Taffa, Debayan Banerjee, Yaregal Assabie | 2024 | arxiv 2412.02788 |
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