Research

Papers for “question answering”

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

Title	Authors	Year	Source
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving	Yuxin Lin, Mengshi Qi, Liang Liu	2025	arxiv 2502.00843
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering	Zijun Yao, Yuanyong Chen, Xin Lv	2023	arxiv 2307.03130
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering	Yi Cheng, Hehe Fan, Dongyun Lin	2023	arxiv 2307.13250
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering	Qianlong Li, Chen Huang, Shuai Li	2024	arxiv 2412.01230
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios	Yifan Li, Yuhang Chen, Anh Dao	2025	arxiv 2505.20640
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering	Liangyu Zhong, Fabio Rosenthal, Joachim Sicking	2025	arxiv 2506.21710
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?	Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi	2026	arxiv 2601.12812
Reinforcement Learning Enhanced Multi-hop Reasoning for Temporal Knowledge Question Answering	Wuzhenghong Wen, Chao Xue, Su Pan	2026	arxiv 2601.01195
STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering	Emad Bahrami, Olga Zatsarynna, Parth Pathak	2026	arxiv 2604.01824
Context-Length Robustness in Question Answering Models: A Comparative Empirical Study	Trishita Dhara, Siddhesh Sheth	2026	arxiv 2603.15723
POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency	Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad	2025	arxiv 2510.01009
LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering	Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti	2026	arxiv 2607.02763
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering	Matthew Maufe, James Ravenscroft, Rob Procter	2022	arxiv 2211.16971
RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models	Zhaoyan Gong, Juan Li, Zhiqiang Liu	2025	arxiv 2509.03995
How to find a good image-text embedding for remote sensing visual question answering?	Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger	2021	arxiv 2109.11848
Joint Extraction Matters: Prompt-Based Visual Question Answering for Multi-Field Document Information Extraction	Mengsay Loem, Taiju Hosaka	2025	arxiv 2503.16868
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval	Akari Asai, Xinyan Yu, Jungo Kasai	2021	arxiv 2107.11976
Adapting and evaluating a deep learning language model for clinical why-question answering	Andrew Wen, Mohamed Y. Elwazir, Sungrim Moon	2019	arxiv 1911.05604
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining	Minjun Kim, Seungwoo Song, Youhan Lee	2024	arxiv 2401.06443
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision	Fan Jiang, Tom Drummond, Trevor Cohn	2024	arxiv 2402.16508

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