Interactive Question Answering Systems: Literature Review
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Abstract (arXiv)
Question answering systems are recognized as popular and frequently effective means of information seeking on the web. In such systems, information seekers can receive a concise response to their query by presenting their questions in natural language. Interactive question answering is a recently proposed and increasingly popular solution that resides at the intersection of question answering and dialogue systems. On the one hand, the user can ask questions in normal language and locate the actual response to her inquiry; on the other hand, the system can prolong the question-answering session into a dialogue if there are multiple probable replies, very few, or ambiguities in the initial request. By permitting the user to ask more questions, interactive question answering enables users to dynamically interact with the system and receive more precise results. This survey offers a detailed overview of the interactive question-answering methods that are prevalent in current literature. It begins by explaining the foundational principles of question-answering systems, hence defining new notations and taxonomies to combine all identified works inside a unified framework. The reviewed published work on interactive question-answering systems is then presented and examined in terms of its proposed methodology, evaluation approaches, and dataset/application domain. We also describe trends surrounding specific tasks and issues raised by the community, so shedding light on the future interests of scholars. Our work is further supported by a GitHub page with a synthesis of all the major topics covered in this literature study. https://sisinflab.github.io/interactive-question-answering-systems-survey/
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 83 of its 199 references that are in the map. First posted on arXiv 4 Sep 2022.
Builds on
83 of 199 references.
References · 83
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,886
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
- 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
- 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
- 2016Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotationscited by 2,656
- 2016Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answeringcited by 2,516
- 2015VQA: Visual Question Answeringcited by 2,506
- 2018Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answeringcited by 2,164
- 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
- 2019OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledgecited by 1,121
- 2018CoQA: A Conversational Question Answering Challengecited by 683
38 more
- 2018TVQA: Localized, Compositional Video Question Answeringcited by 467
- 2018QuAC : Question Answering in Contextcited by 381
- 2017TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answeringcited by 378
- 2016Visual Dialogcited by 377
- 2015Visual7W: Grounded Question Answering in Imagescited by 318
- 2015Towards AI-Complete Question Answering: A Set of Prerequisite Toy Taskscited by 314
- 2019QASC: A Dataset for Question Answering via Sentence Compositioncited by 252
- 2017SearchQA: A New Q&A Dataset Augmented with Context from a Search Enginecited by 225
- 2020Open Question Answering over Tables and Textcited by 163
- 2017IQA: Visual Question Answering in Interactive Environmentscited by 155
- 2019End-to-End Open-Domain Question Answering with BERTserinicited by 152
- 2015Exploring Models and Data for Image Question Answeringcited by 139
- 2015Large-scale Simple Question Answering with Memory Networkscited by 127
- 2016TGIF: A New Dataset and Benchmark on Animated GIF Descriptioncited by 124
- 2019Audio-Visual Scene-Aware Dialogcited by 123
- 2020Open-Retrieval Conversational Question Answeringcited by 99
- 2019Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answeringcited by 96
- 2020Question Rewriting for Conversational Question Answeringcited by 93
- 2017An Analysis of Visual Question Answering Algorithmscited by 90
- 2022Sequence-to-Sequence Knowledge Graph Completion and Question Answeringcited by 75
- 2021Complex Temporal Question Answering on Knowledge Graphscited by 69
- 2017DeepStory: Video Story QA by Deep Embedded Memory Networkscited by 68
- 2018Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graphcited by 67
- 2019BERT with History Answer Embedding for Conversational Question Answeringcited by 67
- 2019How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representationscited by 63
- 2021Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answeringcited by 56
- 2018Visual Coreference Resolution in Visual Dialog using Neural Module Networkscited by 54
- 2016Improving Coreference Resolution by Learning Entity-Level Distributed Representationscited by 50
- 2017Quasar: Datasets for Question Answering by Search and Readingcited by 50
- 2018VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questionscited by 50
- 2019Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answeringcited by 48
- 2019Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansioncited by 42
- 2018FlowQA: Grasping Flow in History for Conversational Machine Comprehensioncited by 33
- 2019Attentive History Selection for Conversational Question Answeringcited by 33
- 2019Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Basecited by 33
- 2020Explaining Question Answering Models through Text Generationcited by 33
- 2018SDNet: Contextualized Attention-based Deep Network for Conversational Question Answeringcited by 30
- 2019FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevancecited by 25
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Citing papers per year: 2023: 2; 2024: 2; 2025: 3.
7 papers.
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- 2024Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recencycited by 28
- 2023Evaluating ChatGPT as a Recommender System: A Rigorous Approachcited by 20
- 2024IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answeringcited by 19
- 2025Conformal Information Pursuit for Interactively Guiding Large Language Modelscited by 7
- 2025BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactionscited by 4
- 2025A Survey of the State-of-the-Art in Conversational Question Answering Systemscited by 1
- 2025A Survey of the State-of-the-Art in Conversational Question Answering Systems6 Sep 2025
- 2025Conformal Information Pursuit for Interactively Guiding Large Language Models4 Jul 2025
- 2025BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions6 Jun 2025
- 2024IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering24 Aug 2024
- 2024Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency19 Jan 2024
- 2023A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge18 Oct 2023
- 2023Evaluating ChatGPT as a Recommender System: A Rigorous Approach7 Sep 2023