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cs.LG2026
When Models Manipulate Manifolds: The Geometry of a Counting Task
Wes Gurnee, Emmanuel Ameisen, Isaac Kauvar +4
Language models can perceive visual properties of text despite receiving only sequences of tokens-we mechanistically investigate how Claude 3.5 Haiku accomplishes one such task: li…
cs.LG2024★ 1 cited
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson, Isaac Kauvar, Nick Haber
Model-based reinforcement learning (MBRL) is a promising route to sample-efficient policy optimization. However, a known vulnerability of reconstruction-based MBRL consists of scen…