Yet, by relying primarily on surface-level co-occurrence statistics, they fail to form globally consistent latent representations of entities and events, lack of which contributes to brittleness in…
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About this source
Source
arXiv cs.AI
Type
Research Preprint
Published
Credibility
Peer-submitted research paper on arXiv
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arXiv cs.AI·Research Preprint·Primary Source·
Modeling Language as a Sequence of Thoughts
TL;DR
Transformer language models can generate strikingly natural text by modeling language as a sequence of tokens.
Scan abstract → experiments → limitations. Also: note model size and inference requirements.
Full Analysis
Affects widely-used AI models.
Yet, by relying primarily on surface-level co-occurrence statistics, they fail to form globally consistent latent representations of entities and events, lack of which contributes to brittleness in…
