Rate–distortion theory and human pragmatic reasoningPublicationsEmergence of pragmatic reasoning from least-effort optimizationNoga Zaslavsky, Jennifer Hu, Roger Levy2020 EvoLang XIIIPDF Cite DOIA Rate–Distortion view of human pragmatic reasoningNoga Zaslavsky, Jennifer Hu, Roger Levy2020 arXiv preprintPDF Cite ProceedingsA Rate–Distortion view of human pragmatic reasoningNoga Zaslavsky, Jennifer Hu, Roger Levy2021 SCiLPDF Cite DOICompetition from novel features drives scalar inferences in reference gamesJennifer Hu, Noga Zaslavsky, Roger P. Levy2021 CogSciPDF Cite Code ProceedingsEmpirical support for a Rate-Distortion account of pragmatic reasoningIrene Zhou, Jennifer Hu, Roger P. Levy, Noga Zaslavsky2021 CogSciPDF Cite ProceedingsScalable pragmatic communication via self-supervisionJennifer Hu, Roger Levy, Noga Zaslavsky2021 ICML Workshop on Self-Supervised Learning for Reasoning and PerceptionPDF Cite ICML WorkshopTeasing apart models of pragmatics using optimal reference game designIrene Zhou, Jennifer Hu, Roger Levy, Noga Zaslavsky2022 CogSciPDF Cite Code ProceedingsBridging semantics and pragmatics in information-theoretic emergent communicationEleonora Gualdoni, Mycal Tucker, Roger P. Levy, Noga Zaslavsky2024 SCiLPDF Cite DOI
