A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
Explanatory models in neuroscience: Part 1 – taking mechanistic abstraction seriously, April 2021
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Lil-Bevo applies music pretraining, curriculum learning on sequence length, and targeted masking to small LMs in the BabyLM challenge, finding modest gains from short sequences but overall limited performance.
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Zero-shot World Models Are Developmentally Efficient Learners
A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
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Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways
Lil-Bevo applies music pretraining, curriculum learning on sequence length, and targeted masking to small LMs in the BabyLM challenge, finding modest gains from short sequences but overall limited performance.