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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
Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question AnsweringRuei-Chi Lai, Bolivar Solarte, Chin-Hsuan Wu2026arxiv 2607.04079
TVQA: Localized, Compositional Video Question AnsweringJie Lei, Licheng Yu, Mohit Bansal2018arxiv 1809.01696
Multivalent Entailment Graphs for Question AnsweringNick McKenna, Liane Guillou, Mohammad Javad Hosseini2021arxiv 2104.07846
Query-Reduction Networks for Question AnsweringMinjoon Seo, Sewon Min, Ali Farhadi2016arxiv 1606.04582
Learning to Paraphrase for Question AnsweringLi Dong, Jonathan Mallinson, Siva Reddy2017arxiv 1708.06022
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesHariom A. Pandya, Bhavik Ardeshna, Brijesh S. Bhatt2021arxiv 2112.09866
Query Refinement Prompts for Closed-Book Long-Form Question AnsweringReinald Kim Amplayo, Kellie Webster, Michael Collins2022arxiv 2210.17525
You Only Need One Model for Open-domain Question AnsweringHaejun Lee, Akhil Kedia, Jongwon Lee2021arxiv 2112.07381
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question AnsweringYueqing Sun, Yu Zhang, Le Qi2022arxiv 2211.13515
The Effect of Natural Distribution Shift on Question Answering ModelsJohn Miller, Karl Krauth, Benjamin Recht2020arxiv 2004.14444
Towards Differential Relational Privacy and its use in Question AnsweringSimone Bombari, Alessandro Achille, Zijian Wang2022arxiv 2203.16701
Question-Instructed Visual Descriptions for Zero-Shot Video Question AnsweringDavid Romero, Thamar Solorio2024arxiv 2402.10698
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question AnsweringZongxi Li, Yang Li, Haoran Xie2025arxiv 2502.01523
MEG: Medical Knowledge-Augmented Large Language Models for Question AnsweringLaura Cabello, Carmen Martin-Turrero, Uchenna Akujuobi2024arxiv 2411.03883
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringPascal Tilli, Ngoc Thang Vu2024arxiv 2403.17647
Latent Compositional Representations Improve Systematic Generalization in Grounded Question AnsweringBen Bogin, Sanjay Subramanian, Matt Gardner2020arxiv 2007.00266
A Neural Comprehensive Ranker (NCR) for Open-Domain Question AnsweringBin Bi, Hao Ma2017arxiv 1709.10204
Efficient Passage Retrieval with Hashing for Open-domain Question AnsweringIkuya Yamada, Akari Asai, Hannaneh Hajishirzi2021arxiv 2106.00882
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question AnsweringShayne Longpre, Yi Lu, Zhucheng Tu2019arxiv 1912.02145
iVQA: Inverse Visual Question AnsweringFeng Liu, Tao Xiang, Timothy M. Hospedales2017arxiv 1710.03370