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Semantic Textual Similarity on STS Tasks (STS12-16, STS-B, SICK-R) (test)

82.4STS12 ScoreSimCSE-BERT
72.353674.961877.5780.1782Aug 27, 2019Jul 25, 2020Jun 24, 2021May 24, 2022Apr 23, 2023Mar 22, 2024Feb 19, 2025

Evaluation results

MethodLinks
SimCSE-BERTzero-shot=true, category=Paragon2024.0282.474.480.978.676.968.472.276.3—
SimCSE-BERTTraining Paradigm=Contrastive-Trained Embedding Models2024.1082.474.480.978.676.968.472.276.3—
PromptEOL+CSEBackbone=OPT, Params=13B, Fine-tuning=Supervised NLI datasets2023.0780.290.2485.3489.5285.988.5682.0685.97—
PromptEOL+CSEBackbone=OPT, Params=6.7B, Fine-tuning=Supervised NLI datasets2023.0780.1490.0284.9489.7885.8488.7581.2985.82—
ST5-EncParams=4.8B, Fine-tuning=Community QA and NLI datasets2023.0780.188.7584.788.8685.1786.7780.3984.96—
PromptEOL+CSEBackbone=OPT, Params=2.7B, Fine-tuning=Supervised NLI datasets2023.0779.4989.6484.889.5185.9188.3381.6485.62—
PromptEOL+CSEBackbone=LLaMA, Params=7B, Fine-tuning=Supervised NLI datasets2023.0779.1690.2285.488.9986.2588.3781.5185.7—
PromptEOL+CSEBackbone=OPT, Params=1.3B, Fine-tuning=Supervised NLI datasets2023.0779.0189.2684.188.384.6287.7180.5284.79—
PromptEOLTraining dataset=manual dataset, Base model=LLaMA-2-7B2024.0278.7589.9984.9888.8286.2788.3782.4485.66—
PromptEOL+CSEBackbone=LLaMA, Params=13B, Fine-tuning=Supervised NLI datasets2023.0778.6390.0385.4689.4886.1888.4582.6985.85—
DebCSEBackbone=RoBERTa-large2025.0277.6887.1780.5385.983.5785.3673.8982.01—
ConSERTlarge joint-unsupBackbone=BERT-large, Training Supervision=NLI supervision and STS unlabeled texts, Strategy=joint unsupervised2021.0577.4785.4579.4185.5980.3983.4277.2681.28—
SimCSE-RoBERTaParams=354M, Fine-tuning=Supervised datasets2023.0777.4687.2782.3686.6683.9386.781.9583.76—
MultiCSRBackbone=RoBERTa-base2025.0277.0384.7279.7185.882.6884.2480.6482.12—
DebCSEBackbone=BERT-large2025.0276.8286.3679.8185.880.8383.4574.6781.11—
MultiCSR-rBackbone=RoBERTa-base2025.0276.7985.038086.0582.6584.7981.1482.35—
PromptRoBERTaParams=123M, Fine-tuning=Supervised datasets2023.0776.7585.9382.2886.6982.886.1480.0482.95—
SimCSE-RoBERTaParams=123M, Fine-tuning=Supervised datasets2023.0776.5385.2180.9586.0382.5785.8380.582.52—
MultiCSR-rBackbone=BERT-base2025.0276.3782.578.3785.3882.1584.0180.5581.33—
SynCSE-rBackbone=BERT-large2025.0276.3285.1779.2985.7882.7684.7682.5182.37—
DebCSEBackbone=BERT-base2025.0276.1584.6778.9185.4180.5582.9973.680.33—
SynCSEBackbone=RoBERTa-base2025.0276.1584.4179.2384.8582.8783.9581.4181.84—
SynCSE-rBackbone=RoBERTa-base2025.0276.0183.1879.1385.5183.0384.6680.9381.78—
SynCSEBackbone=RoBERTa-large2025.0275.9285.0180.4385.8384.485.0581.9982.66—
MultiCSRBackbone=BERT-base2025.0275.8882.3978.884.4280.5482.2380.0380.61—
SynCSE-rBackbone=BERT-base2025.0275.8283.2478.6184.7581.6883.4580.6781.17—
MultiCSR-rBackbone=BERT-large2025.0275.6985.6379.9286.0882.6984.8882.3782.47—
RankCSE_listMLEPLM=BERT_base2023.0575.6686.2777.8184.7481.181.875.1380.36—
RankCSEBackbone=BERT-base2025.0275.6686.2777.8184.7481.181.875.1380.36—
SynCSE-rBackbone=RoBERTa-large2025.0275.6484.5380.3685.8884.4785.8283.2482.85—
MultiCSRBackbone=BERT-large2025.0275.5685.1980.1485.9182.484.1981.6582.15—
RankCSE_listMLEPLM=BERT_large2023.0575.4886.578.685.4581.0981.5875.5380.6—
RankCSEBackbone=BERT-large2025.0275.4886.578.685.4581.0981.5875.5380.6—
ConSERTlarge sup-unsupBackbone=BERT-large, Training Supervision=NLI supervision and STS unlabeled texts, Strategy=supervised then unsupervised2021.0575.2686.017983.8879.4582.9576.5480.44—
SynCSEBackbone=BERT-large2025.0275.2384.2879.4184.8982.0983.4881.7981.6—
SBERT-base + Contrastive (SG-OPT)Backbone=SBERT-base, Pooling=CLS2021.0675.1681.2776.3184.7180.3381.4676.6479.41—
CompCSEPLM=BERT-large, compositional objective=+ subsum.2023.0775.186.5777.784.7280.2580.1773.2179.67—
PCLPLM=BERT-large2023.0774.8985.8878.3385.380.1381.3973.6679.94—
PCLPLM=BERT_large2023.0574.8786.1178.2985.6580.5281.6273.9480.14—
PCLBackbone=BERT-large2025.0274.8786.1178.2985.6580.5281.6273.9480.14—
SBERT-large + Contrastive (SG)Backbone=SBERT-large, Pooling=CLS2021.0674.8482.8977.2784.4479.5482.3576.4479.68—
RankCSE_listNetPLM=BERT_large2023.0574.7586.4678.5285.4180.6281.476.1280.47—
SBERT-large + Contrastive (SG-OPT)Backbone=SBERT-large, Pooling=CLS2021.0674.5883.7976.9884.5779.8782.0576.4479.76—
SROBERTa-NLI-largeBackbone=RoBERTa-large, Training data=NLI2019.0874.537773.1881.8576.8279.174.2976.68—
SROBERTalarge-NLIBackbone=RoBERTa, Model Scale=large, Supervision=NLI2020.1174.537773.1881.8576.8279.174.29——
SynCSEBackbone=BERT-base2025.0274.5382.1478.2283.4680.6681.4280.5180.13—
MoCoSEPLM=BERT-large2023.0774.584.5477.3284.1179.6780.5373.2679.13—
MultiCSRBackbone=RoBERTa-large2025.0274.4284.4679.1784.7683.6784.2381.581.74—
RankCSE_listNetPLM=BERT_base2023.0574.3885.9777.5184.4681.3181.4675.2680.05—
CLAIF-BERTscaling=scaled2023.0574.3685.0780.6487.2183.3686.2679.6882.37—
DebCSEBackbone=RoBERTa-base2025.0274.2985.5479.4685.6881.283.9674.0480.6—
SGPTParams=5.8B, Fine-tuning=Supervised datasets2023.0774.2885.3579.2185.5282.5485.579.5381.7—
MultiCSR-rBackbone=RoBERTa-large2025.0274.2884.8179.285.2683.9384.481.6281.93—
PromptEOLTraining dataset=automatically generated (Auto_NLI), Base model=LLaMA-2-7B, Shots=20-shot2024.0274.2487.3982.5585.4984.3685.2474.281.92—
PromptEOLTraining dataset=automatically generated (Auto_NLI), Base model=LLaMA-2-7B, Shots=5-shot x 42024.0274.1687.7582.6585.9584.9785.2676.4482.45—
PCLPLM=RoBERTa_large2023.0574.0884.3676.4285.4981.7682.7971.5179.49—
PCLBackbone=RoBERTa-large2025.0274.0884.3676.4285.4981.7682.7971.5179.49—
ConSERTbase joint-unsupBackbone=BERT-base, Training Supervision=NLI supervision and STS unlabeled texts, Strategy=joint unsupervised2021.0574.0783.9377.0583.6678.7681.3676.7779.37—
ClusterNS-RoBERTabasePrompt-based=true, Backbone=RoBERTa, Model Size=base2023.0574.0285.1277.9684.4782.8483.2870.4779.74—
ClusterNS-BERTlargePrompt-based=true, Backbone=BERT, Model Size=large2023.0573.9987.5378.8285.4780.8482.8572.5980.3—
PromptRoBERTabasePrompt-based=true, Backbone=RoBERTa, Model Size=base2023.0573.9484.7477.2884.9981.7481.8869.579.15—
PromptRoBERTaParams=123M, Training Type=Unsupervised Contrastive Training2024.0273.9484.7477.2884.9981.7481.8869.579.15—
PromptROBERTaBackbone=RoBERTa-base2025.0273.9484.7477.2884.9981.7481.8869.579.15—
SBERT-base + Contrastive (SG)Backbone=SBERT-base, Pooling=CLS2021.0673.7680.0875.5883.5279.181.0575.7878.41—
PCLPLM=RoBERTa-large2023.0773.7684.5976.8185.3781.6682.8970.3379.34—
PromptEOLTraining dataset=automatically generated (Auto_NLI), Base model=LLaMA-2-7B, Shots=5-shot2024.0273.7287.7581.9485.7183.8584.4975.7281.88—
SNCSEPLM=RoBERTa-large2023.0773.7186.7380.3586.883.0684.3177.4381.77—
PromptRoBERTaTraining dataset=unsupervised2024.0273.6484.9777.4485.1181.6182.1269.0979.14—
ConSERTbase sup-unsupBackbone=BERT-base, Training Supervision=NLI supervision and STS unlabeled texts, Strategy=supervised then unsupervised2021.0573.5184.8677.4483.1177.9881.874.2979—
RankCSE_listNetPLM=RoBERTa_large2023.0573.4785.7778.0785.6582.5184.1273.7380.47—
ESimCSEBackbone=BERT-base, Embedding Strategy=[CLS], Discrete Augmentation=true2022.1173.483.2777.2582.6678.8180.1772.378.27—
ESimCSEPLM=BERT-base2023.0773.483.2777.2582.6678.8180.1772.378.27—
PromptEOLTraining dataset=automatically generated (Auto_NLI), Base model=LLaMA-2-7B, Shots=1-shot2024.0273.387.6181.5285.3583.8583.6376.8681.73—
PromptBERTlargePrompt-based=true, Backbone=BERT, Model Size=large2023.0573.2986.3977.985.1879.9781.9271.2679.42—
L2P-CSRPLM=RoBERTa-large2023.0773.2984.0876.6585.4782.782.1572.3679.53—
PromptEOLTraining dataset=automatically generated (Auto_NLI), Base model=LLaMA-2-7B, Shots=1-shot x 52024.0273.2787.981.7485.7284.1184.6676.4581.98—
ConSERTlarge jointBackbone=BERT-large, Training Supervision=NLI supervision, Optimization Strategy=joint2021.0573.2682.3677.7383.8478.7581.5478.6479.44—
ESimCSEPLM=BERT-large2023.0773.2185.3777.7384.378.9280.7374.8979.31—
ConPVP-RoBERTabasePrompt-based=true, Backbone=RoBERTa, Model Size=base2023.0573.283.2276.2483.3781.4982.1874.5979.18—
RankCSE_listMLEPLM=RoBERTa_base2023.0573.285.9577.1784.8282.5883.0871.8879.81—
RankCSE_listMLEPLM=RoBERTa_large2023.0573.285.837885.6382.6784.1973.6480.45—
ESimCSEPLM=RoBERTa-large2023.0773.284.9376.8884.8681.2182.7972.2779.45—
RankCSEBackbone=RoBERTa-base2025.0273.285.9577.1784.8282.5883.0871.8879.81—
RankCSEBackbone=RoBERTa-large2025.0273.285.837885.6382.6784.1973.6480.45—
ArcCSEPLM=BERT_large2023.0573.1786.1977.984.9779.4380.4573.579.37—
ArcCSEPLM=BERT-large2023.0773.1786.1977.984.9779.4380.4573.579.37—
VisualCSE-RoBERTalargeBackbone=RoBERTa-large, Supervision Type=Visual + Text (unsupervised)2022.0973.0984.7777.0985.4782.0683.2672.2379.71—
DCLRPLM=RoBERTa_large2023.0573.0984.5776.1385.1581.9982.3571.879.3—
DCLRPLM=RoBERTa-large2023.0773.0984.5776.1385.1581.9982.3571.879.3—
ClusterNS-BERTbasePrompt-based=true, Backbone=BERT, Model Size=base2023.0572.9284.8677.3884.5280.2381.5869.5378.72—
RankCSE_listNetPLM=RoBERTa_base2023.0572.9185.7276.9484.5282.5983.4671.9479.73—
SimCSE-RoBERTalargeBackbone=RoBERTa-large, Supervision Type=Text-only (unsupervised)2022.0972.8683.9975.6284.7781.881.9871.2678.9—
SimCSE-RoBERTalargeBackbone=RoBERTa-large, Supervision modality=Unsupervised text, Framework=SimCSE2022.0972.8683.9975.6284.7781.881.9871.2678.9—
SimCSEPLM=RoBERTa_large2023.0572.8683.9975.6284.7781.881.9871.2678.9—
SimCSEPLM=RoBERTa-large2023.0772.8683.9975.6284.7781.881.9871.2678.9—
SimCSEBackbone=RoBERTa-large2025.0272.8683.9975.6284.7781.881.9871.2678.9—
PCLPLM=BERT_base2023.0572.8483.8176.5283.0679.3280.0173.3878.42—
PCLBackbone=BERT-base2025.0272.8483.8176.5283.0679.3280.0173.3878.42—
PCLBackbone=BERT-base, Embedding Strategy=[CLS], Discrete Augmentation=true2022.1172.7483.3676.0583.0779.2679.7272.7578.14—
PCLPLM=BERT-base2023.0772.7483.3676.0583.0779.2679.7272.7578.14—