Home › Entities › academia › Block-Skim: Efficient Question Answering for Transformer

Block-Skim: Efficient Question Answering for Transformer

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2022) · cited 21× · AI/ML
academia openalex:W4226109952
Press Enter · cited answer in seconds

Block-Skim: Efficient Question Answering for Transformer

Summary

Block-Skim: Efficient Question Answering for Transformer is a scholarly article[1].

Key Facts

  • Block-Skim: Efficient Question Answering for Transformer'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). Block-Skim: Efficient Question Answering for Transformer. Retrieved May 24, 2026, from https://4ort.xyz/entity/block-skim-efficient-question-answering-for-transformer
MLA “Block-Skim: Efficient Question Answering for Transformer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/block-skim-efficient-question-answering-for-transformer.
BibTeX @misc{4ortxyz_block-skim-efficient-question-answering-for-transformer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Block-Skim: Efficient Question Answering for Transformer}}, year = {2026}, url = {https://4ort.xyz/entity/block-skim-efficient-question-answering-for-transformer}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Block-Skim: Efficient Question Answering for Transformer — https://4ort.xyz/entity/block-skim-efficient-question-answering-for-transformer (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/block-skim-efficient-question-answering-for-transformer · Last refreshed: