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

> Полный текст доступен на английском

**Published:** 1 октября 2026 г.
**Author:** \.Ibrahim Ethem Deveci, Funda Tan \c{C}al{\i}k, Bar{\i}\c{s} Deniz Sa\u{g}lam, Duygu Ataman
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/arggym-a-procedural-engine-verified-benchmark-for-structured-defeasible

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 easier to evaluate and optimize,…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2609.38409)

**Теги:** #arXiv

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