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cs.NE2026
Distribution Matching Evolutionary Algorithms for Rare Event Sampling
Yonatan Gideoni, Yarin Gal
A novel discovery is one which is both useful and surprising: a generative model's output is a useful discovery if it has a low probability of being generated (it's surprising) and…
cs.LG2026
Distillation Defenses Easily Break After Reinforcement Learning
Shidan Javaheri, Alexander Panfilov, Oliver Britton +2
Distillation attacks copy the reasoning capabilities of closed-source large language models, allowing bad actors to replicate state-of-the-art performance at low cost. Attackers sy…
cs.AI2026
Simple Baselines are Competitive with Code Evolution
Yonatan Gideoni, Sebastian Risi, Yarin Gal
Code evolution is a family of techniques that rely on large language models to search through possible computer programs by evolving existing code. While code evolution pipelines h…