mlsanityData to 7 Oct 2026

Unanswerable Questions about Images and Texts

arXiv 2102.06793 ↗First posted 25 Jan 2021cs.CV cs.AI cs.CLcited by 7

Not on the map. Why?

Abstract (arXiv)

Questions about a text or an image that cannot be answered raise distinctive issues for an AI. This note discusses the problem of unanswerable questions in VQA (visual question answering), in QA (visual question answering), and in AI generally.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 16 of its 29 references that are in the map. First posted on arXiv 25 Jan 2021.

Builds on

16 of 29 references.

References · 16

  1. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  2. 2015VQA: Visual Question Answeringcited by 2,489
  3. 2019BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questionscited by 2,140
  4. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
  5. 2018VizWiz Grand Challenge: Answering Visual Questions from Blind Peoplecited by 852
  6. 2017Adversarial Examples for Evaluating Reading Comprehension Systemscited by 568
  7. 2019Deep Learning for Symbolic Mathematicscited by 266
  8. 2019Probing Neural Network Comprehension of Natural Language Argumentscited by 212
  9. 2019Why Does a Visual Question Have Different Answers?cited by 34
  10. 2018Read + Verify: Machine Reading Comprehension with Unanswerable Questionscited by 31
  11. 2019Challenges and Prospects in Vision and Language Researchcited by 24
  12. 2016Question Relevance in VQA: Identifying Non-Visual And False-Premise Questionscited by 16
4 more
  1. 2017The Promise of Premise: Harnessing Question Premises in Visual Question Answeringcited by 11
  2. 2019The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019)cited by 11
  3. 2019Learning to Ask Unanswerable Questions for Machine Reading Comprehensioncited by 9
  4. 2018U-Net: Machine Reading Comprehension with Unanswerable Questionscited by 5

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 3; 2024: 3.

7 papers.

  1. 2022Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectlycited by 86
  2. 2023Won't Get Fooled Again: Answering Questions with False Premisescited by 47
  3. 2023See, Say, and Segment: Teaching LMMs to Overcome False Premisescited by 40
  4. 2024Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awarenesscited by 13
  5. 2024Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Modelscited by 12
  6. 2023Asking More Informative Questions for Grounded Retrievalcited by 6
  7. 2024SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Datasetcited by 1