AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper shows that when agents share more context they produce less informative languages, and provides a proof of concept and enables the testing of further hypotheses of the impact of shared context on language structure.
This paper uses morphological feature annotations from the Universal Dependencies corpora to quantify information carried by morphology across 154 different datasets spanning 72 language varieties, and proposes an information-theoretic approach that measures how surprising morphological feature values are given a token...
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