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cs.LG2026
Hidden Trajectories Don't Lie: Correcting Corruption Drift for Test-Time Adaptation
Amirhossein Sabour, Amir Khasahmadi, Mengliu Zhao
Test-time adaptation (TTA) adapts pretrained models to distribution shifts encountered during deployment. However, most existing methods rely on the weight representations of the f…
cs.LG2026
HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation
Nikita Klimenko, Hesam Salehipour, Parham Eftekhar +2
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). T…