Home › Entities › academia › STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering

STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering

Research article (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020) · cited 42× · AI/ML
academia openalex:W3104085139
Press Enter · cited answer in seconds

STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering

Summary

STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering is a scholarly article[1].

Key Facts

  • STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering. Retrieved May 24, 2026, from https://4ort.xyz/entity/stl-cqa-structure-based-transformers-with-localization-and-encoding-for-chart-question-answering
MLA “STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stl-cqa-structure-based-transformers-with-localization-and-encoding-for-chart-question-answering.
BibTeX @misc{4ortxyz_stl-cqa-structure-based-transformers-with-localization-and-encoding-for-chart-question-answering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering}}, year = {2026}, url = {https://4ort.xyz/entity/stl-cqa-structure-based-transformers-with-localization-and-encoding-for-chart-question-answering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering — https://4ort.xyz/entity/stl-cqa-structure-based-transformers-with-localization-and-encoding-for-chart-question-answering (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/stl-cqa-structure-based-transformers-with-localization-and-encoding-for-chart-question-answering · Last refreshed: