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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
Product Question Answering in E-Commerce: A SurveyYang Deng, Wenxuan Zhang, Qian Yu2023arxiv 2302.08092
Multimodal Prompt Retrieval for Generative Visual Question AnsweringTimothy Ossowski, Junjie Hu2023arxiv 2306.17675
Context Filtering with Reward Modeling in Question AnsweringSangryul Kim, James Thorne2024arxiv 2412.11707
Event Detection as Question Answering with Entity InformationEmanuela Boros, Jose G. Moreno, Antoine Doucet2021arxiv 2104.06969
Answer Generation for Retrieval-based Question Answering SystemsChao-Chun Hsu, Eric Lind, Luca Soldaini2021arxiv 2106.00955
Video Question Answering with Phrases via Semantic RolesArka Sadhu, Kan Chen, Ram Nevatia2021arxiv 2104.03762
Attention-guided Evidence Grounding for Spoken Question AnsweringKe Yang, Bolin Chen, Yuejie Li2026arxiv 2603.16292
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question AnsweringQichen Ye, Bowen Cao, Nuo Chen2023arxiv 2302.11799
FinSage: A Multi-aspect RAG System for Financial Filings Question AnsweringXinyu Wang, Jijun Chi, Zhenghan Tai2025arxiv 2504.14493
Decomposing Retrieval Failures in RAG for Long-Document Financial Question AnsweringAmine Kobeissi, Philippe Langlais2026arxiv 2602.17981
GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question AnsweringTianyi Zhang, Andreas Marfurt2026arxiv 2604.04359
EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal EvidenceLinpeng Huang, Weixing Chen, Zexin Chen2026arxiv 2606.24797
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge GraphKuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna2018arxiv 1809.10044
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question AnsweringEric Wallace, Pedro Rodriguez, Shi Feng2018arxiv 1809.02701
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School LevelZixian Huang, Yulin Shen, Xiao Li2019arxiv 1908.07855
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family ModelsJiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara2023arxiv 2306.00228
UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese LanguageTriet Minh Thai, Ngan Ha-Thao Chu, Anh Tuan Vo2022arxiv 2209.06668
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading ComprehensionAnna Rogers, Matt Gardner, Isabelle Augenstein2021arxiv 2107.12708
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question AnsweringHikaru Asano, Hiroki Ouchi, Akira Kasuga2025arxiv 2508.11163
Video Question Answering for People with Visual Impairments Using an Egocentric 360-Degree CameraInpyo Song, Minjun Joo, Joonhyung Kwon2024arxiv 2405.19794