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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Xiao Zhang, Ji Wu, Zhiyang He |
| 2018 |
| arxiv 1802.10279 |
| Learning Conditioned Graph Structures for Interpretable Visual Question Answering | Will Norcliffe-Brown, Efstathios Vafeias, Sarah Parisot | 2018 | arxiv 1806.07243 |
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| Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions | Noa Garcia, Yuta Nakashima | 2020 | arxiv 2007.08751 |
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| TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction | Shuo Li, Sangdon Park, Insup Lee | 2023 | arxiv 2307.04642 |
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| Speeding Up Question Answering Task of Language Models via Inverted Index | Xiang Ji, Yesim Sungu-Eryilmaz, Elaheh Momeni | 2022 | arxiv 2210.13578 |
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| How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering | Sanjay Kamath, Brigitte Grau, Yue Ma | 2019 | arxiv 1911.00712 |
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| WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering | Pingyi Chen, Chenglu Zhu, Sunyi Zheng | 2024 | arxiv 2407.05603 |
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| Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi | Maithili Sabane, Onkar Litake, Aman Chadha | 2023 | arxiv 2308.09862 |
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| Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering | Yang Liu, Guanbin Li, Liang Lin | 2022 | arxiv 2207.12647 |
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| CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs | Yuntong Hu, Zhihan Lei, Zhongjie Dai | 2025 | arxiv 2501.15067 |
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