11 citations · 20 across the 6 of their papers we have counts for
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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.CL2025
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.CL2021★ 2 cited
Scalable pragmatic communication via self-supervision
Jennifer Hu, Roger Levy, Noga Zaslavsky
Models of context-sensitive communication often use the Rational Speech Act framework (RSA; Frank & Goodman, 2012), which formulates listeners and speakers in a cooperative reasoni…