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Amirhossein Abaskohi

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#natural language process... Preprint Oct 2026

SEDIMA: Cross-Run Hierarchical Insight Memory for Evolutionary Search Agents

Large language model (LLM)-driven evolutionary search is a powerful paradigm for automated program and algorithm discovery, yet existing systems are largely memoryless: each run explores from scratch, so agents repeatedly rediscover the same improvements and re-encounter the same dead ends. We introduce SEDIMA, a persi...

Amirhossein Abaskohi, Mahdi Mostajabdaveh, Zi-Rui Zhou · 0 citations

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