3d-assembly

LLM2R casts 3D part assembly as sequence modeling with a pretrained decoder-only LLM, using geometric tokens and learnable summary tokens to predict all part poses in a single non-autoregressive pass, achieving state-of-the-art accuracy on PartNet, PartNeXt, and Breaking Bad benchmarks.