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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Towards Differential Relational Privacy and its use in Question Answering |
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| Simone Bombari, Alessandro Achille, Zijian Wang |
| 2022 |
| arxiv 2203.16701 |
| Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering | David Romero, Thamar Solorio | 2024 | arxiv 2402.10698 |
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| CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering | Zongxi Li, Yang Li, Haoran Xie | 2025 | arxiv 2502.01523 |
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| MEG: Medical Knowledge-Augmented Large Language Models for Question Answering | Laura Cabello, Carmen Martin-Turrero, Uchenna Akujuobi | 2024 | arxiv 2411.03883 |
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| Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering | Pascal Tilli, Ngoc Thang Vu | 2024 | arxiv 2403.17647 |
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| Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering | Ben Bogin, Sanjay Subramanian, Matt Gardner | 2020 | arxiv 2007.00266 |
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| A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering | Bin Bi, Hao Ma | 2017 | arxiv 1709.10204 |
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| Efficient Passage Retrieval with Hashing for Open-domain Question Answering | Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi | 2021 | arxiv 2106.00882 |
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| An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering | Shayne Longpre, Yi Lu, Zhucheng Tu | 2019 | arxiv 1912.02145 |
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| iVQA: Inverse Visual Question Answering | Feng Liu, Tao Xiang, Timothy M. Hospedales | 2017 | arxiv 1710.03370 |
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