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Semantic Textual Similarity on STS16 (test)

77.18Spearman Corr

DINO (STS-A-x2)

Updated 24d ago

Evaluation Results

Method	Links
DINO (STS-A-x2) 2021.04		77.18
DINO (STS-A-x1x2) 2021.04		76.47
Li et al. (2020) 2021.04		75.37
S-BERT (base) 2021.04		74.3
S-ROBERTa (base) 2021.04		73.69
USE 2021.04		73.18
Li et al. (2020) 2021.04		71.84
Zhang et al. (2020) 2021.04		70.16
InferSent, Glove 2021.04		66.87
Avg. GloVe 2021.04		63.66
Cayley-Encoder 2026.03		63.13
FC-Encoder 2026.03		62.96
Cayley-Encoder 2026.03		62.69
Avg. BERT 2021.04		61.06
Best-Layer 2026.03		59.04
Weighted 2026.03		58.97
Best-Layer 2026.03		58.89
Cayley-Encoder 2026.03		58.63
Best-Layer 2026.03		58.02
FC-Encoder 2026.03		57.28
FC-Encoder 2026.03		57.25
Cayley-Encoder 2026.03		57.24
FC-Encoder 2026.03		57.11
Cayley-Encoder 2026.03		56.62
Weighted 2026.03		54.91
Last-Layer 2026.03		54.32
FC-Encoder 2026.03		53.89
Weighted 2026.03		52.76
MLP Last-Layer 2026.03		52.55
Last-Layer 2026.03		51.4
MLP Last-Layer 2026.03		51.16
DWAtt 2026.03		51.11
Last-Layer 2026.03		50.37
FC-Encoder 2026.03		49.56
DWAtt 2026.03		48.86
Set-Encoder 2026.03		47.34
DWAtt 2026.03		44.8
Cayley-Encoder 2026.03		42.09
Set-Encoder 2026.03		40.48
MLP Last-Layer 2026.03		39.84
Set-Encoder 2026.03		39.5
BERT CLS 2021.04		38.08