AINeutralarXiv – CS AI · 14h ago5/10
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On Language Generation in the Limit with Bounded Memory
This theoretical computer science paper investigates language generation under bounded memory constraints, extending classical learning theory to a practical setting where algorithms cannot retain complete historical information. The research characterizes when language generation remains possible with various memory limitations and reveals that bounded memory affects different learning tasks—generation, density optimization, and identification—in fundamentally different ways.