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Steven M Frankland

2 accepted papers

2026

Bound by semanticity: universal laws governing the generalization-identification tradeoff

ICLR 2026poster

Intelligent systems must form internal representations that support both broad generalization and precise identification. Here, we show that these two goals are fundamentally in tension with one another. We derive closed-form expressions proving that any model whose representations have a finite s…

Cited by 0SourceScholar
2024

Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem

NeurIPS 2024poster

Recent work has documented striking heterogeneity in the performance of state-of-the-art vision language models (VLMs), including both multimodal language models and text-to-image models. These models are able to describe and generate a diverse array of complex, naturalistic images, yet they exhibit…

Cited by 7SourcePDFScholar