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Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
As a step toward understanding how transformer-based systems generalize, we explore the question of OODG in small scale transformers trained with examples from a known distribution.
Out-of-Distribution Generalization
Systematic Generalization
Learning to Reason With Relational Abstractions
Large language models have recently shown promising progress in mathematical reasoning when fine-tuned with human-generated sequences walking through a sequence of solution steps.
Systematic human learning and generalization from a brief tutorial with explanatory feedback
We also find that most of those who master the task can describe a valid solution strategy, and such participants perform better on transfer puzzles than those whose strategy descriptions are vague or incomplete.
