ArgGYM2 min read
ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning
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.
By \.Ibrahim Ethem Deveci, Funda Tan \c{C}al{\i}k, Bar{\i}\c{s} Deniz Sa\u{g}lam, Duygu AtamanarXiv - cs.AI
Read the full story
Originally published by arXiv - cs.AI on Oct 1, 2026.
Comments
Sign in to join the discussion.