AI models
AWD-LSTM-MoS + dynamic evaluation (WT2, 2018)
Parameters
35M
Published
Sep 18, 2018
AWD-LSTM-MoS + dynamic evaluation (WT2, 2018) is an AI model developed by Peking University and Microsoft Research Asia (China), first published in September 2018. It works in the language domain, on tasks such as language modeling, translation and text classification.
Epoch AI has no training-compute estimate for this model. The model has 35,000,000 parameters. It was trained on roughly 2M datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 152 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Peking University, Microsoft Research Asia
- Country of organization
- China
- Domain
- Language
- Task
- Language modeling, Translation, Text classification
- Parameters
- 35,000,000
- Dataset size
- 2M
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 152
- Epoch confidence
- Confident
More from Peking University,Microsoft Research Asia
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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