arxiv
PublishedJune 19, 2026 at 4:00 AM
Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks
Publisher summary· verbatim
arXiv:2606.19741v1 Announce Type: new Abstract: Neural Combinatorial Optimization (NCO) achieves strong performance, yet its black-box nature remains a key roadblock to deployment and scientific diagnosis. Standard interpretability tools, such as Concept Bottleneck Models (CBMs), are ill-equipped fo
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Originally published on arxiv ↗