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Research

Papers for “question answering”

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

TitleAuthorsYearSource
On the Usability of Transformers-based models for a French Question-Answering taskOralie Cattan, Christophe Servan, Sophie Rosset2022arxiv 2207.09150
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-AnsweringMegha Chakraborty, Khushbu Pahwa, Anku Rani2023arxiv 2306.05523
A Question-Answering Approach to Key Value Pair Extraction from Form-like Document ImagesKai Hu, Zhuoyuan Wu, Zhuoyao Zhong2023arxiv 2304.07957
LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented GenerationShadman Sobhan, Mohammad Ariful Haque2025arxiv 2506.23136
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference ContentJoao Monteiro, Pierre-Andre Noel, Etienne Marcotte2024arxiv 2406.11811
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a SummaryDaniel Deutsch, Tania Bedrax-Weiss, Dan Roth2020arxiv 2010.00490
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data VisualizationsJames Ford, Xingmeng Zhao, Dan Schumacher2024arxiv 2409.18764
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable AnswersMiloš Košprdić, Adela Ljajić, Bojana Bašaragin2024arxiv 2402.18589
Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text ModelsWei Han, Hui Chen, Min-Yen Kan2023arxiv 2307.04192
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-AnsweringJian Wu, Yicheng Xu, Yan Gao2023arxiv 2305.14682
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceZachary Levonian, Chenglu Li, Wangda Zhu2023arxiv 2310.03184
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-AnsweringYavuz Bakman, Sungmin Kang, Zhiqi Huang2025arxiv 2510.02671
Question-Answering System Extracts Information on Injection Drug Use from Clinical NotesMaria Mahbub, Ian Goethert, Ioana Danciu2023arxiv 2305.08777
RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement LearningMeng Xi, Sihan Lv, Yechen Jin2025arxiv 2510.10008
Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-AnsweringZhaohe Liao, Jiangtong Li, Li Niu2024arxiv 2407.03008
Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information ExtractionTanjim Bin Faruk2024arxiv 2412.16484
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilitiesHruday Markondapatnaikuni, Basem Suleiman, Abdelkarim Erradi2025arxiv 2507.07695
Q${}^2$Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge GraphsYousouf Taghzouti, Franck Michel, Tao Jiang2025arxiv 2505.13572
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUTTuan Bui, Oanh Tran, Phuong Nguyen2024arxiv 2404.09296
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums DataChristian Internò, Eloisa Ambrosini2023arxiv 2310.00448