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cs.AI2026★ 1 cited
EvoSkill: Automated Skill Discovery for Multi-Agent Systems
Salaheddin Alzubi, Noah Provenzano, Jaydon Bingham +2
Coding agents are increasingly used as general-purpose problem solvers, but their flexibility does not by itself confer the domain expertise needed for specialized tasks. Recent wo…
cs.AI2026
ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems
Salaheddin Alzu'bi, Baran Nama, Arda Kaz +6
Current agentic frameworks underperform on long-horizon tasks. As reasoning depth increases, sequential orchestration becomes brittle, context windows impose hard limits that degra…