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Research

Papers for “question answering”

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

TitleAuthorsYearSource
Automated Story Generation as Question-AnsweringLouis Castricato, Spencer Frazier, Jonathan Balloch2021arxiv 2112.03808
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsZhuo Chen, Xinyu Wang, Yong Jiang2024arxiv 2404.02022
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachJiyao Li, Mingze Ni, Yongshun Gong2024arxiv 2411.08248
RAG based Question-Answering for Contextual Response Prediction SystemSriram Veturi, Saurabh Vaichal, Reshma Lal Jagadheesh2024arxiv 2409.03708
LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-AnsweringHarry Li, Gabriel Appleby, Ashley Suh2024arxiv 2406.06621
A question-answering system for aircraft pilots' documentationAlexandre Arnold, Gérard Dupont, Félix Furger2020arxiv 2011.13284
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following modelsRob Grzywinski, Joshua D'Arcy, Rob Naidoff2023arxiv 2311.16338
An Automated Question-Answering Framework Based on Evolution AlgorithmSinan Tan, Hui Xue, Qiyu Ren2022arxiv 2201.10797
TerraQ: Spatiotemporal Question-Answering on Satellite Image ArchivesSergios-Anestis Kefalidis, Konstantinos Plas, Manolis Koubarakis2025arxiv 2502.04415
Question-Answering Approach to Evaluating Legal SummariesHuihui Xu, Kevin Ashley2023arxiv 2309.15016
Intent Classification in Question-Answering Using LSTM ArchitecturesGiovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo2020arxiv 2001.09330
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-AnsweringEviatar Nachshoni, Arie Cattan, Shmuel Amar2025arxiv 2508.12355
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkYuming Yang, Jiang Zhong, Li Jin2025arxiv 2502.14864
MovieQA: Understanding Stories in Movies through Question-AnsweringMakarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen2015arxiv 1512.02902
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-AnsweringShamane Siriwardhana, Rivindu Weerasekera, Elliott Wen2021arxiv 2106.11517
General-Purpose Question-Answering with MacawOyvind Tafjord, Peter Clark2021arxiv 2109.02593
Grounded Question-Answering in Long Egocentric VideosShangzhe Di, Weidi Xie2023arxiv 2312.06505
A Russian Jeopardy! Data Set for Question-Answering SystemsElena Mikhalkova2021arxiv 2112.02325
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringYoungsun Lim, Hojun Choi, Hyunjung Shim2024arxiv 2409.12784
Multi-stage Clarification in Conversational AI: The case of Question-Answering Dialogue SystemsHadrien Lautraite, Nada Naji, Louis Marceau2021arxiv 2110.15235