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Nur A. Zarin Nishat

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#machine learning Preprint Oct 2026

A Systematic Study of Small Language Models on Abstract Reasoning Tasks

Endpoint accuracy on abstract-reasoning benchmarks does not reveal whether a language model has acquired a transferable rule or fit distribution-specific regularities. We study this distinction in small language models on the ARC-TGI benchmark, which organizes abstract grid transformations into controllable task famili...

Nur A. Zarin Nishat, Jens Lehmann, Andrei C. Aioanei et al. · 0 citations