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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Lixiao Yang, Mengyang Xu, Weimao Ke |
| 2024 |
| arxiv 2411.01039 |
| Porting Large Language Models to Mobile Devices for Question Answering | Hannes Fassold | 2024 | arxiv 2404.15851 |
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| LP-LM: No Hallucinations in Question Answering with Logic Programming | Katherine Wu, Yanhong A. Liu | 2025 | arxiv 2502.09212 |
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| Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison | Aiswarya Baby, Tintu Thankom Koshy | 2025 | arxiv 2502.14827 |
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| Toward a Neural Semantic Parsing System for EHR Question Answering | Sarvesh Soni, Kirk Roberts | 2022 | arxiv 2211.04569 |
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| Strong and Efficient Baselines for Open Domain Conversational Question Answering | Andrei C. Coman, Gianni Barlacchi, Adrià de Gispert | 2023 | arxiv 2310.14708 |
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| AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning | Peifeng Zhang, Zice Qiu, Donghua Yu | 2026 | arxiv 2604.14779 |
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| Memory Centric Power Allocation for Multi-Agent Embodied Question Answering | Chengyang Li, Shuai Wang, Kejiang Ye | 2026 | arxiv 2604.17810 |
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| ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering | ZhengXian Wu, Hangrui Xu, Kai Shi | 2026 | arxiv 2606.27974 |
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| Interpretable Uncertainty for Adaptive Retrieval and Reasoning in Question Answering | Ritajit Dey, Iadh Ounis, Graham McDonald | 2026 | arxiv 2607.07380 |
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| Few-shot Multi-hop Question Answering over Knowledge Base | Meihao Fan, Lei Zhang, Siyao Xiao | 2021 | arxiv 2112.11909 |
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