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cs.AI2026
EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
Kamer Ali Yuksel, Hassan Sawaf
Modern machine learning is still largely organized around a single recipe: choose a parameterized model family and optimize its weights. Although highly successful, this paradigm i…
cs.AI2025
PAACE: A Plan-Aware Automated Agent Context Engineering Framework
Kamer Ali Yuksel
Large Language Model (LLM) agents are increasingly deployed in complex, multi-step workflows involving planning, tool use, reflection, and interaction with external knowledge syste…
cs.AI2025
EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
Kamer Ali Yuksel
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations that maintain only a s…