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Char2Vec reviews and mentions
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GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
There are character embeddings that allow one to recover word embedding just by summing embeddings of individual bytes/chars in the word: https://github.com/sonlamho/Char2Vec
The encodings of LM's tokens reserve individual characters so that scrambled or new words can be encoded. And most LM's are trained on scrambled words as part of training copus, thus, they learn character-level embeddings.
Thus, basically, the paper is a very old news. This behavior is expected.
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sonlamho/Char2Vec is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Char2Vec is Python.
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