SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Research article (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023) · cited 41× · AI/ML

academia openalex:W4385571915

Press Enter · cited answer in seconds

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

Summary

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval is a scholarly article^[1].

Key Facts

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval'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

[2] ↑ SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval is an instance of scholarly article (scholarly article) [P31, primary]. 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). SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. Retrieved May 24, 2026, from https://4ort.xyz/entity/simlm-pre-training-with-representation-bottleneck-for-dense-passage-retrieval

MLA

“SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simlm-pre-training-with-representation-bottleneck-for-dense-passage-retrieval.

BibTeX

@misc{4ortxyz_simlm-pre-training-with-representation-bottleneck-for-dense-passage-retrieval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval}}, year = {2026}, url = {https://4ort.xyz/entity/simlm-pre-training-with-representation-bottleneck-for-dense-passage-retrieval}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval — https://4ort.xyz/entity/simlm-pre-training-with-representation-bottleneck-for-dense-passage-retrieval (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/simlm-pre-training-with-representation-bottleneck-for-dense-passage-retrieval · Last refreshed: May 24, 2026