Research

Papers for “question answering”

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

Title	Authors	Year	Source
Delving Deeper into Cross-lingual Visual Question Answering	Chen Liu, Jonas Pfeiffer, Anna Korhonen	2022	arxiv 2202.07630
Towards Flexible Evaluation for Generative Visual Question Answering	Huishan Ji, Qingyi Si, Zheng Lin	2024	arxiv 2408.00300
Constrained Dominant Sets for Multimodal Document Question Answering	Ambuj Mehrish, Sebastiano Vascon	2026	arxiv 2606.07252
Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering	Xinyan Zhao, Xiao Feng, Haoming Zhong	2020	arxiv 2006.16722
Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study	Pieter Christy Yan Yudhistira, Dzaki Rafif Malik, Novanto Yudistira	2026	arxiv 2606.03693
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series	Frank Nie, Ethan B Liu, Yuan Zhu	2026	arxiv 2607.25947
Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)	Christopher J. Wedge, Joshua Stutter, Danny Dixon	2026	arxiv 2606.05901
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering	Feng Gao, Qing Ping, Govind Thattai	2022	arxiv 2201.05299
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering	Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou	2021	arxiv 2106.14885
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?	Nishant Balepur, Feng Gu, Abhilasha Ravichander	2024	arxiv 2410.15512
THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering	Udita Patel, Rutu Mulkar, Jay Roberts	2025	arxiv 2505.11626
MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering	Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser	2023	arxiv 2310.06436
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering	Jianmo Ni, Chenguang Zhu, Weizhu Chen	2018	arxiv 1808.09492
Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering	Chiranjib Sur	2020	arxiv 2006.14264
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering	Royal Sequiera, Gaurav Baruah, Zhucheng Tu	2017	arxiv 1707.07804
On the Flip Side: Identifying Counterexamples in Visual Question Answering	Gabriel Grand, Aron Szanto, Yoon Kim	2018	arxiv 1806.00857
HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways	Cristian Cosentino, Annamaria Defilippo, Marco Dossena	2025	arxiv 2508.07308
Question Answering Infused Pre-training of General-Purpose Contextualized Representations	Robin Jia, Mike Lewis, Luke Zettlemoyer	2021	arxiv 2106.08190
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering	Su Hyeon Lim, Minkuk Kim, Hyeon Bae Kim	2024	arxiv 2408.17006
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning	Huabin Liu, Filip Ilievski, Cees G. M. Snoek	2025	arxiv 2501.05069

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