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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
An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question AnsweringMai A. Shaaban, Tausifa Jan Saleem, Alaa Mohamed2026arxiv 2607.12048
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringAndreas Evangelatos, Giorgos Filandrianos, Maria Lymperaiou2025arxiv 2503.00435
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question AnsweringDibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh2019arxiv 1906.06332
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question AnsweringKhiem Vinh Tran, Kiet Van Nguyen, Ngan Luu Thuy Nguyen2023arxiv 2307.15335
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical StudyHai Ye, Yuyang Ding, Juntao Li2023arxiv 2302.04618
COVID-19 event extraction from Twitter via extractive question answering with continuous promptsYuhang Jiang, Ramakanth Kavuluru2023arxiv 2303.10659
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question AnsweringWissam Siblini, Mohamed Challal, Charlotte Pasqual2020arxiv 2010.08422
Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning ApproachMehrdad Alizadeh, Barbara Di Eugenio2020arxiv 2001.11673
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question AnsweringYu-Jung Heo, Eun-Sol Kim, Woo Suk Choi2022arxiv 2204.10448
AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource SettingsHaoxuan Li, Wei Song, Aofan Liu2025arxiv 2508.13606
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural ImagesAnna Penzkofer, Lei Shi, Andreas Bulling2024arxiv 2405.03852
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language ModelsXingyun Hong, Yan Shao, Zhilin Wang2024arxiv 2409.05385
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge GraphsPierre Marion, Pawe\l Krzysztof Nowak, Francesco Piccinno2021arxiv 2109.00269
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question AnsweringFangkai Yang, Pu Zhao, Zezhong Wang2023arxiv 2305.11541
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language ModelLe Zhang, Yihong Wu, Fengran Mo2023arxiv 2310.13265
Task Formulation Matters When Learning Continually: A Case Study in Visual Question AnsweringMavina Nikandrou, Lu Yu, Alessandro Suglia2022arxiv 2210.00044
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question AnsweringChyi-Jiunn Lin, Guan-Ting Lin, Yung-Sung Chuang2024arxiv 2401.13463
Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question AnsweringFederico Cocchi, Nicholas Moratelli, Marcella Cornia2024arxiv 2411.16863
RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR EnvironmentsShiyi Ding, Ying Chen2025arxiv 2504.08256
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited QuestionsZhihan Zhang, Wenhao Yu, Zheng Ning2023arxiv 2305.14441