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Research

Papers for “question answering”

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

TitleAuthorsYearSource
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question AnsweringJinxin Liu, Shulin Cao, Jiaxin Shi2024arxiv 2401.05777
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationWei Zhou, Bolei Ma, Annemarie Friedrich2025arxiv 2510.09671
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationRan Xu, Wenqi Shi, Yuchen Zhuang2025arxiv 2504.04915
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question AnsweringYixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi2025arxiv 2505.18915
PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary SurgeryRunlong He, Danyal Z. Khan, Evangelos B. Mazomenos2025arxiv 2502.14149
SCARE: A Benchmark for SQL Correction and Question Answerability Classification for Reliable EHR Question AnsweringGyubok Lee, Woosog Chay, Edward Choi2025arxiv 2511.17559
R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric VideoKe Ma, Yamin Mao, Weiming Li2026arxiv 2608.11017
ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in ImagesQuan Van Nguyen, Dan Quang Tran, Huy Quang Pham2024arxiv 2404.10652
LogRouter: Adaptive Two-Level LLM Routing for Log Question Answering in Big Data SystemsMert Coskuner, Merve Zeybel, Melik Mert Dolan2026arxiv 2605.18015
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in VietnameseKhiem Vinh Tran, Hao Phu Phan, Kiet Van Nguyen2023arxiv 2310.18046
Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question AnsweringTing Yu, Kunhao Fu, Jian Zhang2024arxiv 2410.09379
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLMWonkyun Kim, Changin Choi, Wonseok Lee2024arxiv 2403.18406
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question AnsweringDeepayan Das, Davide Talon, Massimiliano Mancini2024arxiv 2411.02210
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher EducationPhuc-Tinh Pham Do, Duy-Ngoc Dinh Cao, Khanh Quoc Tran2024arxiv 2409.02840
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMsJuraj Vladika, Annika Domres, Mai Nguyen2025arxiv 2505.24830
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language ModelTaehee Kim, Yeongjae Cho, Heejun Shin2024arxiv 2401.06400
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question AnsweringXiuyuan Chen, Yuan Lin, Yuchen Zhang2023arxiv 2311.14906
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question AnsweringZaid Khan, Yun Fu2024arxiv 2404.10193
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge BaseWangzhen Guo, Linyin Luo, Hanjiang Lai2023arxiv 2305.03356
CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question AnsweringYuyang Hong, Jiaqi Gu, Yujin Lou2026arxiv 2602.23952