AI models
SimCSE
Published
May 18, 2022
SimCSE is an AI model developed by Princeton University and Tsinghua University (United States and China), first published in May 2022. It works in the language domain, on tasks such as semantic embedding.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 27.4M datapoints.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of RoBERTa Large. The reference paper has 4,419 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Princeton University, Tsinghua University
- Country of organization
- United States, China
- Domain
- Language
- Task
- Semantic embedding
- Dataset size
- 27.4M
- Numerical format
- FP16
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- RoBERTa Large
- Citations
- 4,419
- Epoch confidence
- Likely
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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