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Traditional academic benchmarks fail to predict real-world performance, as PhysicsBench reveals that the top models shift dramatically across different data scales and tasks.
Moderate trajectory weighting in FMTO leads to superior topology generation stability and performance, challenging conventional approaches that rely heavily on adversarial training or extensive sampling.
A 40x dataset expansion from a mere 400 designs reveals how 2D latent space augmentation can revolutionize 3D engineering data generation.
