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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer? |
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| Nishant Balepur, Feng Gu, Abhilasha Ravichander |
| 2024 |
| arxiv 2410.15512 |
| THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering | Udita Patel, Rutu Mulkar, Jay Roberts | 2025 | arxiv 2505.11626 |
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| MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering | Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser | 2023 | arxiv 2310.06436 |
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| Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering | Jianmo Ni, Chenguang Zhu, Weizhu Chen | 2018 | arxiv 1808.09492 |
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| Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering | Chiranjib Sur | 2020 | arxiv 2006.14264 |
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| Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering | Royal Sequiera, Gaurav Baruah, Zhucheng Tu | 2017 | arxiv 1707.07804 |
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| On the Flip Side: Identifying Counterexamples in Visual Question Answering | Gabriel Grand, Aron Szanto, Yoon Kim | 2018 | arxiv 1806.00857 |
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| HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways | Cristian Cosentino, Annamaria Defilippo, Marco Dossena | 2025 | arxiv 2508.07308 |
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| Question Answering Infused Pre-training of General-Purpose Contextualized Representations | Robin Jia, Mike Lewis, Luke Zettlemoyer | 2021 | arxiv 2106.08190 |
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| Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering | Su Hyeon Lim, Minkuk Kim, Hyeon Bae Kim | 2024 | arxiv 2408.17006 |
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| Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning | Huabin Liu, Filip Ilievski, Cees G. M. Snoek | 2025 | arxiv 2501.05069 |
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