New articles target structured pruning of LLMs for edge and low-latency deployment

Three papers — Multi-Objective Structured Pruning, CausalGate, and TriSP — propose pruning methods that remove entire attention and weight structures from LLMs. They target strict latency, memory, and compute costs that limit LLM deployment in embedded and edge environments.