Author

Di Wang

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#artificial intelligence Apr 2026

RefineRL: Advancing Competitive Programming with Self-Refinement Reinforcement Learning

RefineRL introduces Skeptical-Agent, an iterative self-refinement agent equipped with local execution tools to validate generated solutions against public test cases of CP problems and highlights self-refinement as a promising direction for scaling LLMs' general reasoning ability.

Shaopeng Fu, Xingxing Zhang, Li Dong et al. · arXiv.org · 1 citation

Preprint Aug 2026

Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMs

Experiments show that with only 1K synthesized samples, AdvSafe-aligned LRMs achieve significantly stronger jailbreak robustness than existing baselines, with almost no utility degradation, demonstrating that learning unsafety knowledge enables a superior robustness-utility trade-off and generalizes beyond seen attack...

Hongli Shen, Shaopeng Fu, Qinbo Zhang et al. · 0 citations