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Papers for “question answering”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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TitleAuthorsYearSource
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7bDiego Molla, Christopher Jones2019arxiv 1909.00542
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge GraphsMikhail Salnikov, Maria Lysyuk, Pavel Braslavski2023arxiv 2310.07008
Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data LakesKirushikesh D B, Manish Kesarwani, Nishtha Madaan2026arxiv 2603.14229
FedMatch: Federated Learning Over Heterogeneous Question Answering DataJiangui Chen, Ruqing Zhang, Jiafeng Guo2021arxiv 2108.05069
Dual-Key Multimodal Backdoors for Visual Question AnsweringMatthew Walmer, Karan Sikka, Indranil Sur2021arxiv 2112.07668
LLM Robustness Against Misinformation in Biomedical Question AnsweringAlexander Bondarenko, Adrian Viehweger2024arxiv 2410.21330
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question AnsweringSabrina Chiesurin, Dimitris Dimakopoulos, Marco Antonio Sobrevilla Cabezudo2023arxiv 2305.16519
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse LanguagesAkari Asai, Shayne Longpre, Jungo Kasai2022arxiv 2207.00758
Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering TasksYuntai Bao, Xuhong Zhang, Tianyu Du2025arxiv 2506.00823
Event-Centric Question Answering via Contrastive Learning and Invertible Event TransformationJunru Lu, Xingwei Tan, Gabriele Pergola2022arxiv 2210.12902
NLProlog: Reasoning with Weak Unification for Question Answering in Natural LanguageLeon Weber, Pasquale Minervini, Jannes Münchmeyer2019arxiv 1906.06187
Gendered Pronoun Resolution using BERT and an extractive question answering formulationRakesh Chada2019arxiv 1906.03695
More Bang for Your Buck: Natural Perturbation for Robust Question AnsweringDaniel Khashabi, Tushar Khot, Ashish Sabharwal2020arxiv 2004.04849
Accuracy vs. Complexity: A Trade-off in Visual Question Answering ModelsMoshiur R. Farazi, Salman H. Khan, Nick Barnes2020arxiv 2001.07059
Fact-Tree Reasoning for N-ary Question Answering over Knowledge GraphsYao Zhang, Peiyao Li, Hongru Liang2021arxiv 2108.08297
MV-CoRe: Multimodal Visual-Conceptual Reasoning for Complex Visual Question AnsweringJingwei Peng, Jiehao Chen, Mateo Alejandro Rojas2025arxiv 2508.07023
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question AnsweringSishi Xiong, Ziyang He, Zhongjiang He2025arxiv 2509.01312
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringJianyu Wang, Bing-Kun Bao, Changsheng Xu2021arxiv 2107.04768
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side EffectsGabriel Grand, Yonatan Belinkov2019arxiv 1906.08430
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question AnsweringTengxun Zhang, Hongfei Xu, Josef van Genabith2022arxiv 2211.03462