Training on easy synthetic math data lowers accuracy on hard benchmarks, and the proposed SST framework, which teaches explicit procedural chains, aims to reverse that drop.
In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 225–237
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Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty
Training on easy synthetic math data lowers accuracy on hard benchmarks, and the proposed SST framework, which teaches explicit procedural chains, aims to reverse that drop.