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cs.CL2026
Agent-based imitation dynamics can yield efficiently compressed population-level vocabularies
Nathaniel Imel, Richard Futrell, Michael Franke +1
Natural languages have been argued to evolve under pressure to efficiently compress meanings into words by optimizing the Information Bottleneck (IB) complexity-accuracy tradeoff.…
cs.CL2026
Evolution and compression in LLMs: On the emergence of human-aligned categorization
Nathaniel Imel, Noga Zaslavsky
Converging evidence suggests that human systems of semantic categories achieve near-optimal compression via the Information Bottleneck (IB) complexity-accuracy tradeoff. Large lang…
cs.CL2026
On convexity and efficiency in semantic systems
Nathaniel Imel, Noga Zaslavasky
There are two widely held characterizations of human semantic category systems: (1) they form convex partitions of conceptual spaces, and (2) they are efficient for communication.…