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A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees explores An LLM-driven evolutionary system designs combinatorial optimization algorithms by treating LLMs as system architects, outperforming existing methods.. Commercial viability score: 7/10 in LLM Agents.
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Canonical route: /paper/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees
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Canonical ID a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees | Route /paper/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees
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/buildability/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees
Subject: A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees
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Dimensions overall score 7.0
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Receipt path
/buildability/a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees
Paper ref
a2dept-large-language-model-driven-automated-algorithm-design-via-evolutionary-program-trees
arXiv id
2604.24043
Generated at
2026-04-28T15:18:24.769Z
Evidence freshness
fresh
Last verification
2026-04-28T15:18:24.769Z
Sources
3
References
0
Coverage
50%
Lineage hash
5edfea579431c359c9b33d0d72400d6f88e7cac177202202a72ea0d301dd02ee
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Pending verification refs / 3 sources / Verification pending
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references
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