Zhu, R. (ECE) – From Neuromorphic Principles to Efficient Neural Language Architectures
This dissertation investigates how neuromorphic and brain-inspired principles can guide the design of efficient neural language architectures. It addresses two central limitations of modern Transformer-based language models: memory growth with […]