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ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning

arXiv:2609.38409v1 Announce Type: new Abstract: Recent progress in large language model reasoning has been driven by benchmarks and reinforcement learning environments with automatically verifiable rewards, particularly in mathematics, code, and formal logic. These settings make model accuracy easi…

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  1. 2026-10-01 04:00 · arXiv cs.AI
    ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning

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