2025
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper
EMNLP 2025
Considering deep neural networks as manifold mappers, the pretrain-then-fine-tune paradigm can be interpreted as a two-stage process: pretrain establishes a broad knowledge base, and fine-tune adjusts the model parameters to activate specific neural pathways to align with the target manifold. Althou