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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla |
| 2024 |
| arxiv 2403.17848 |
| Few-Shot Question Answering by Pretraining Span Selection | Ori Ram, Yuval Kirstain, Jonathan Berant | 2021 | arxiv 2101.00438 |
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| Unsupervised Question Answering for Fact-Checking | Mayank Jobanputra | 2019 | arxiv 1910.07154 |
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| MaXM: Towards Multilingual Visual Question Answering | Soravit Changpinyo, Linting Xue, Michal Yarom | 2022 | arxiv 2209.05401 |
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| Towards Fine-Grained Video Question Answering | Wei Dai, Alan Luo, Zane Durante | 2025 | arxiv 2503.06820 |
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| Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems | Jialiang Xu, Mengyu Zhou, Xinyi He | 2022 | arxiv 2211.07455 |
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| EfficientRAG: Efficient Retriever for Multi-Hop Question Answering | Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng | 2024 | arxiv 2408.04259 |
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| CodeQA: A Question Answering Dataset for Source Code Comprehension | Chenxiao Liu, Xiaojun Wan | 2021 | arxiv 2109.08365 |
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| Textually Enriched Neural Module Networks for Visual Question Answering | Khyathi Raghavi Chandu, Mary Arpita Pyreddy, Matthieu Felix | 2018 | arxiv 1809.08697 |
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| Question Answering over Knowledge Base using Language Model Embeddings | Sai Sharath Japa, Rekabdar Banafsheh | 2020 | arxiv 2010.08883 |
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