HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation 事件

HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation arXiv:2605.18932v2 Announce Type: replace-cross Abstract: In this work, we propose HypergraphFormer, a novel and efficient approach to floor plan generation based on learning hypergraph representations with a large language model (LLM). The model is trained via supervised fine-tuning to generate a hypergraph-based textual representation that encodes spatial relationships and connectivity information within floor