| The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
| Developers: | Higher School of Economics (HSE) |
| Date of the premiere of the system: | 2024/12/06 |
| Branches: | Education and Science |
| Technology: | Speech technology |
The main articles are:
- Neural networks (neural networks)
- Speech Recognition (Technology, Market)
- Speech technology: On the path from recognition to understanding
2024: Papilusion Performance
A team of researchers with the participation of Alexander Shirnin from the Higher School of Economics has created two models for detection of parts generated by artificial intelligence in scientific texts. In the AIpom system, two types of models are connected - a decoder and an encoder, which allows it to more efficiently find the generated inserts. The Papilusion system is suitable for recognizing corrections using synonyms and short retellings generated by a neural network, in its work it uses models of the same type - encoders. In the future, such models will help in checking the originality and reliability of scientific publications. The HSE announced this on December 6, 2024. Read more here.
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