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Optimal compression in human concept learning

Nathaniel Imel, Noga Zaslavsky
2024 CogSci
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Language use is only sparsely compositional: The case of English adjective-noun phrases in humans and large language models

Aalok Sathe, Evelina Fedorenko, Noga Zaslavsky
2024 CogSci
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Noisy Population Dynamics Lead to Efficiently Compressed Semantic Systems

Nathaniel Imel, Richard Futrell, Michael Franke, Noga Zaslavsky
2023 InfoCog @ NeruIPS
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Human-Guided Complexity-Controlled Abstractions

Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah
2023 NeurIPS
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Evidence for a language-independent conceptual representation of pronominal referents

Mora Maldonado, Noga Zaslavsky, Jennifer Culbertson
2023 CogSci
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Generalization and Translatability in Emergent Communication via Informational Constraints

Mycal Tucker, Roger Levy, Julie Shah, Noga Zaslavsky
2022 InfoCog @ NeurIPS
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Trading off Utility, Informativeness, and Complexity in Emergent Communication

Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky
2022 NeurIPS
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Towards Human-Agent Communication via the Information Bottleneck Principle

Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky
2022 RSS Workshop on Social Intelligence in Humans and Robots
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Teasing apart models of pragmatics using optimal reference game design

Irene Zhou, Jennifer Hu, Roger Levy, Noga Zaslavsky
2022 CogSci
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Scalable pragmatic communication via self-supervision

Jennifer Hu, Roger Levy, Noga Zaslavsky
2021 ICML Workshop on Self-Supervised Learning for Reasoning and Perception
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