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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2020 |
| arxiv 2011.02164 |
| Calibrated Confidence Estimation for Tabular Question Answering | Lukas Voss | 2026 | arxiv 2604.12491 |
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| TG-VQA: Ternary Game of Video Question Answering | Hao Li, Peng Jin, Zesen Cheng | 2023 | arxiv 2305.10049 |
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| Question Answering as Global Reasoning over Semantic Abstractions | Daniel Khashabi, Tushar Khot, Ashish Sabharwal | 2019 | arxiv 1906.03672 |
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| ExplanationLP: Abductive Reasoning for Explainable Science Question Answering | Mokanarangan Thayaparan, Marco Valentino, André Freitas | 2020 | arxiv 2010.13128 |
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| Challenges in Generalization in Open Domain Question Answering | Linqing Liu, Patrick Lewis, Sebastian Riedel | 2021 | arxiv 2109.01156 |
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| DelucionQA: Detecting Hallucinations in Domain-specific Question Answering | Mobashir Sadat, Zhengyu Zhou, Lukas Lange | 2023 | arxiv 2312.05200 |
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| Single-dataset Experts for Multi-dataset Question Answering | Dan Friedman, Ben Dodge, Danqi Chen | 2021 | arxiv 2109.13880 |
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| Recurrent and Contextual Models for Visual Question Answering | Abhijit Sharang, Eric Lau | 2017 | arxiv 1703.08120 |
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| Bidirectional Contrastive Split Learning for Visual Question Answering | Yuwei Sun, Hideya Ochiai | 2022 | arxiv 2208.11435 |
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