Qing Xiao

Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection

Recent advances in parameter-efficient transfer learning have demonstrated the utility of composing LoRA adapters from libraries of pretrained modules. However, most existing approaches rely on simple retrieval heuristics or uniform averaging, which overlook the latent structure of task relationshi