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Representation Learning 벤치마크

Representation Learning on SciDocs

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Avg.

58.8 64.55 70.3 76.05 81.8 2019-01 2026-09 BioBERT — 58.8 (2019-01-25) SPECTER — 80.0 (2020-04-15) Citeomatic — 76.0 (2020-04-15) SciBERT — 59.6 (2020-04-15) SciNCL — 81.8 (2022-02-14) Sci-DeCLUTR — 66.6 (2022-02-14) CiteBERT — 58.8 (2022-02-14) BioBERT — 58.8 (2019-01-25) SPECTER — 80.0 (2020-04-15) SciNCL — 81.8 (2022-02-14)
RankModel Avg. PaperCodeYear
1 SciNCL 81.8 Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings malteos/scincl 2022
2 SPECTER 80.0 SPECTER: Document-level Representation Learning using Citation-informed Transformers allenai/specter · allenai/scidocs · allenai/aspire · +2 2020
3 Citeomatic 76.0 SPECTER: Document-level Representation Learning using Citation-informed Transformers allenai/specter · allenai/scidocs · allenai/aspire · +2 2020
4 Sci-DeCLUTR 66.6 Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings malteos/scincl 2022
5 SciBERT 59.6 SPECTER: Document-level Representation Learning using Citation-informed Transformers allenai/specter · allenai/scidocs · allenai/aspire · +2 2020
6 BioBERT 58.8 BioBERT: a pre-trained biomedical language representation model for biomedical text mining dmis-lab/biobert · EmilyAlsentzer/clinicalBERT · naver/biobert-pretrained · +16 2019
6 CiteBERT 58.8 Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings malteos/scincl 2022
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