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Robustness and Generalization in Algorithm Discovery

Methods that reduce overfitting through diverse benchmarks, adversarial instances, validation protocols, co-evolution, and out-of-distribution testing

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Living review: LLMs for Algorithm Design
20 recent papers · updated 2026-04-26
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2026-04-21 — Weekly Research Intelligence — LLMs for Algorithm Design
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Meta-Evolution Algorithm Evolution for Optimization GPU/TPU/NPU Kernel Evolution RL Tuning for Self-Improving Evolutionary Design Test-Time Training for Algorithm Design Agentic Algorithm Discovery Evolutionary Algorithm Design for Scientific Discovery Evolutionary Algorithm Design for Cloud and Systems Feedback and Reward Models for Algorithm Design