Research

Papers for “question answering”

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

Title	Authors	Year	Source
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation	Gang Liu, Hongyang Li, Zerui He	2024	arxiv 2403.02707
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering	Junnan Dong, Qinggang Zhang, Huachi Zhou	2024	arxiv 2402.12728
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering	Hongda Sun, Yuxuan Liu, Chengwei Wu	2024	arxiv 2403.05217
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic	Saleem Ahmed, Bhavin Jawade, Shubham Pandey	2023	arxiv 2308.01979
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering	Nghia Trung Ngo, Chien Van Nguyen, Franck Dernoncourt	2024	arxiv 2411.09213
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models	Jean Park, Kuk Jin Jang, Basam Alasaly	2024	arxiv 2408.12763
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering	Yuxiang Wu, Sebastian Riedel, Pasquale Minervini	2020	arxiv 2011.05435
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering	Weiwen Xu, Huihui Zhang, Deng Cai	2021	arxiv 2105.11776
Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering	Xueren Ge, Sahil Murtaza, Anthony Cortez	2025	arxiv 2511.10900
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering	Qingfei Zhao, Ruobing Wang, Yukuo Cen	2024	arxiv 2410.18050
A Curriculum Learning Approach to Reinforcement Learning: Leveraging RAG for Multimodal Question Answering	Chenliang Zhang, Lin Wang, Yuanyuan Lu	2025	arxiv 2508.10337
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering	Haopeng Li, Mohammed Bennamoun, Jun Liu	2024	arxiv 2401.01510
To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering	Zaifu Zhan, Min Zeng, Shuang Zhou	2026	arxiv 2602.20130
PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning	Madhav S Baidya	2026	arxiv 2604.04565
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output Prefilling	Silvia Cappelletti, Tobia Poppi, Samuele Poppi	2025	arxiv 2505.15323
EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering	Yanjun Li, Yuqian Fu, Tianwen Qian	2025	arxiv 2508.10729
From token probabilities to calibrated confidence: An empirical study of mathematical question answering	Avery Ma, Lorne Schell, Vin Bhaskara	2026	arxiv 2608.07827
Retrieval--Reasoning Processes for Multi-hop Question Answering: A Four-Axis Design Framework and Empirical Trends	Yuelyu Ji, Zhuochun Li, Rui Meng	2026	arxiv 2601.00536
KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering	Zhiyang Li, Ao Ke, Yukun Cao	2026	arxiv 2601.11632
CoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering	Xiyin Zeng, Yi Lu, Hao Wang	2026	arxiv 2604.16930

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