ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning
cs.AI, cs.CL
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/ieddeveci/ArgGYM
Terminology
Sources
- Can formal argumentative reasoning enhance LLMs performances?
- DeFAb: A Verifiable Benchmark for Defeasible Abduction in Foundation Models
- LogicSkills: A Structured Benchmark for Formal Reasoning in Large Language Models
- DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative Benchmark
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
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