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A curated list of research papers in Sentence Reprsentation Learning and a sts leaderboard of sentence embeddings.
| Date | Stars |
|---|---|
| 2026-07-24 | 315 |
| 2026-07-25 | 315 |
| 2026-07-28 | 315 |
| 2026-07-30 | 315 |
| 2026-08-06 | 315 |
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# Awesome-Sentence-Embedding A curated list of research papers in Sentence Reprsentation Learning. The leaderboard of Unsupervised STS is also available. ## Content * [Unsupervised STS leaderboard](https://github.com/Doragd/Awesome-Sentence-Embedding#unsupervised-sts-leaderboard) * [BERT-base](https://github.com/Doragd/Awesome-Sentence-Embedding#bert-base) * [BERT-large](https://github.com/Doragd/Awesome-Sentence-Embedding#bert-large) * [RoBERTa-base](https://github.com/Doragd/Awesome-Sentence-Embedding#roberta-base) * [RoBERTa-large](https://github.com/Doragd/Awesome-Sentence-Embedding#roberta-large) * [Related Papers](https://github.com/Doragd/Awesome-Sentence-Embedding#related-Papers) * [Main Track of Sentence Embeddings](https://github.com/Doragd/Awesome-Sentence-Embedding#main-track-of-sentence-embeddings) * [Others Track of Sentence Embeddings](https://github.com/Doragd/Awesome-Sentence-Embedding#others-track-of-sentence-embeddings) * [Cross-lingual Sentence Embeddings](https://github.com/Doragd/Awesome-Sentence-Embedding#cross-lingual-sentence-embeddings) * [Cross-lingual Dense Retrieval](https://github.com/Doragd/Awesome-Sentence-Embedding#cross-lingual-dense-retrieval) * [Misc](https://github.com/Doragd/Awesome-Sentence-Embedding#misc) ## Unsupervised STS leaderboard You can search by model name (alias) to find the corresponding paper in the [Related Papers](https://github.com/Doragd/Awesome-Sentence-Embedding#related-papers). ### BERT-base |Methods|STS12|STS13|STS14|STS15|STS16|STS-B|SICK-R|avg.| |:----|:----|:----|:----|:----|:----|:----|:----|:----| |GloVe(avg.)|55.14|70.66|59.73|68.25|63.66|58.02|53.76|61.32| |USE|64.49|67.8|64.61|76.83|73.18|74.92|76.69|71.22| |CLS|21.54|32.11|21.28|37.89|44.24|20.3|42.42|31.4| |Mean|30.87|59.89|47.73|60.29|63.73|47.29|58.22|52.57| |first-last avg.|39.7|59.38|49.67|66.03|66.19|53.87|62.06|56.7| |Contrastive(BT)|54.26|64.03|54.28|68.19|67.5|63.27|66.91|62.63| |BERT-Flow|58.4|67.1|60.85|75.16|71.22|68.66|64.47|66.55| |BERT-Whitening|57.83|66.9|60.9|75.08|71.31|68.24|63.73|66.28| |IS-BERT|56.77|69.24|61.21|75.23|70.16|69.21|64.25|66.58| |BSL|67.83|71.4|66.88|79.97|73.97|73.74|70.4|72.03| |CT-BERT|61.63|76.8|68.47|77.5|76.48|74.31|69.19|72.05| |ConSERT|64.64|78.49|69.07|79.72|75.95|73.97|67.31|72.74| |SCD|66.94|78.03|69.89|78.73|76.23|76.3|73.18|74.19| |SG-OPT|66.84|80.13|71.23|81.56|77.17|77.23|68.16|74.62| |Mirror-BERT|69.1|81.1|73|81.9|75.7|78|69.1|75.4| |PaSeR|70.21|83.88|73.06|83.87|77.60|79.19|65.31|76.16| |SimCSE|68.4|82.41|74.38|80.91|78.56|76.85|72.23|76.25| |MCSE+coco|71.2±1.3|79.7±0.9|73.8±0.9|83.0±0.4|77.8±0.9|78.5±0.4|72.1±1.4|76.6±0.5| |EASE|72.8|81.8|73.7|82.3|79.5|78.9|69.7|77| |L2P-CSR|70.21|83.25|75.42|82.34|78.75|77.8|72.65|77.2| |DCLR|70.81|83.73|75.11|82.56|78.44|78.31|71.59|77.22| |MoCoSE|71.58|81.4|74.47|83.45|78.99|78.68|72.44|77.27| |InforMin-CL|70.22|83.48|75.51|81.72|79.88|79.27|71.03|77.3| |MCSE+flickr|71.4±0.9|81.8±1.3|74.8±0.9|83.6±0.9|77.5±0.8|79.5±0.5|72.6±1.4|77.3±0.5| |VisualCSE|71.16|83.29|75.13|81.59|80.05|80.03|71.23|77.5| |SimCSE+GS-InfoNCE|70.12|82.57|75.21|82.89|80.23|79.7|72.7|77.63| |MixCSE|71.71±4.04|83.14±0.72|75.49±1.25|83.64±2.32|79.00±0.16|78.48±0.82|72.19±0.46|77.66±0.61| |PT-BERT|71.2|83.76|76.34|82.63|78.9|79.42|71.94|77.74| |AudioCSE|71.65|84.27|76.69|83.22|78.69|79.94|70.49|77.85| |ArcCSE|72.08|84.27|76.25|82.32|79.54|79.92|72.39|78.11| |miCSE|71.71|83.09|75.46|83.13|80.22|79.7|73.62|78.13| |PCL|72.74|83.36|76.05|83.07|79.26|79.72|72.75|78.14| |ESimCSE|73.4|83.27|77.25|82.66|78.81|80.17|72.3|78.27| |DiffCSE|72.28|84.43|76.47|83.9|80.54|80.59|71.23|78.49| |PromptBERT|71.56|84.58|76.98|84.47|80.6|81.6|69.87|78.54| |InfoCSE|70.53|84.59|76.40|85.10|81.95|82.00|71.37|78.85| |SNCSE|70.67|84.79|76.99|83.69|80.51|81.35|74.77|78.97| |Prompt+L2P-CSR|72.34|84.81|78.13|84.16|80.58|82.04|71.13|79.03| |RankCSE_listNet|74.38|85.97|77.51|84.46|81.31|81.46|75.26|80.05| |RankEncoder|74.88|85.59|78.61|83.5|80.56|81.55|75.78|80.07
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