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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain | Ankit Pal | 2023 | arxiv 2310.13146 |
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| Visual Question Answering on Image Sets | Ankan Bansal, Yuting Zhang, Rama Chellappa | 2020 | arxiv 2008.11976 |
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| CoQA: A Conversational Question Answering Challenge | Siva Reddy, Danqi Chen, Christopher D. Manning | 2018 | arxiv 1808.07042 |
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| Causal Understanding For Video Question Answering | Bhanu Prakash Reddy Guda, Tanmay Kulkarni, Adithya Sampath | 2024 | arxiv 2407.20257 |
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| Introspective Distillation for Robust Question Answering | Yulei Niu, Hanwang Zhang | 2021 | arxiv 2111.01026 |
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| HeySQuAD: A Spoken Question Answering Dataset | Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy | 2023 | arxiv 2304.13689 |
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| Conversational Question Answering on Heterogeneous Sources | Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum | 2022 | arxiv 2204.11677 |
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| Knowledge Corpus Error in Question Answering | Yejoon Lee, Philhoon Oh, James Thorne | 2023 | arxiv 2310.18076 |
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| Structured Attentions for Visual Question Answering | Chen Zhu, Yanpeng Zhao, Shuaiyi Huang | 2017 | arxiv 1708.02071 |
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| Spoken question answering for visual queries | Nimrod Shabtay, Zvi Kons, Avihu Dekel | 2025 | arxiv 2505.23308 |
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