AI models
Mnemonic Reader
Published
May 8, 2017
Mnemonic Reader is an AI model developed by Fudan University and Microsoft Research (China and United States), first published in May 2017. It works in the language domain, on tasks such as question answering.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 215.6K datapoints.
The reference paper has 217 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Fudan University, Microsoft Research
- Country of organization
- China, United States
- Domain
- Language
- Task
- Question answering
- Dataset size
- 215.6K
- Citations
- 217
- Epoch confidence
- Confident
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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