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Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings
Research article (Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022) · cited 18× · AI/ML
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.
APA4ort.xyz Knowledge Graph. (2026). Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysing-the-robustness-of-dual-encoders-for-dense-retrieval-against-misspellings
MLA“Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysing-the-robustness-of-dual-encoders-for-dense-retrieval-against-misspellings.
BibTeX@misc{4ortxyz_analysing-the-robustness-of-dual-encoders-for-dense-retrieval-against-misspellings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings}}, year = {2026}, url = {https://4ort.xyz/entity/analysing-the-robustness-of-dual-encoders-for-dense-retrieval-against-misspellings}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings — https://4ort.xyz/entity/analysing-the-robustness-of-dual-encoders-for-dense-retrieval-against-misspellings (retrieved 2026-05-24)
