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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2310.13028 |
| Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering | Xin Guan, Biwei Cao, Qingqing Gao | 2023 | arxiv 2305.05936 |
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| Image Captioning and Visual Question Answering Based on Attributes and External Knowledge | Qi Wu, Chunhua Shen, Anton van den Hengel | 2016 | arxiv 1603.02814 |
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| TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering | Boyi Zhang, Zhuo Liu, Hangfeng He | 2025 | arxiv 2506.00331 |
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| Adaptive Information Seeking for Open-Domain Question Answering | Yunchang Zhu, Liang Pang, Yanyan Lan | 2021 | arxiv 2109.06747 |
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| Open-Ended and Knowledge-Intensive Video Question Answering | Md Zarif Ul Alam, Hamed Zamani | 2025 | arxiv 2502.11747 |
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| Addressing Community Question Answering in English and Arabic | Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo | 2016 | arxiv 1610.05522 |
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| HistoryBankQA: Multilingual Temporal Question Answering on Historical Events | Biswadip Mandal, Anant Khandelwal, Manish Gupta | 2025 | arxiv 2509.12720 |
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| CANDI: Contextual Alignment for Niche Domains Question Answering | Megha Chakraborty, Darssan L. Eswaramoorthi, Het Riteshkumar Shah | 2026 | arxiv 2607.11891 |
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| QuAC : Question Answering in Context | Eunsol Choi, He He, Mohit Iyyer | 2018 | arxiv 1808.07036 |
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| Frustratingly Easy Natural Question Answering | Lin Pan, Rishav Chakravarti, Anthony Ferritto | 2019 | arxiv 1909.05286 |
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