arXiv Machine Learning July 2, 2026 By Aviral Chawla, Galen Hall, Juniper Lovato

MetaOthello: A Controlled Study of Multiple World Models in Transformers

Read the original on arXiv Machine Learning →

arXiv:2602. 23164v2 Announce Type: replace Abstract: Foundation models must handle multiple generative processes, yet mechanistic interpretability largely studies capabilities in isolation; it remains unclear how a single transformer organizes multiple, potentially conflicting "world models".

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration

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