The Imitation Game: when LLMs learn to reason like programs via code-centric reasoning data synthesis
Read the original at arxiv.org→arXiv:2609.16076v1 Announce Type: new Abstract: Large Language Models (LLMs) excel at programming tasks but frequently fail at deterministic, fine-grained reasoning in natural language, relying heavily on semantic...
Original headline: "The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data Synthesis"
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- Sep 16, 04:00 UTC arXiv cs.CL lead source The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data Synthesis