David Zhang

Exploiting answer-invariant redundancies in satellite imagery for efficient VLM inference on edge

Rift is presented, a two-stage system that performs query-conditioned tile pruning followed by elastic prefill to reduce token budget and reduces energy by 78% and latency by 69%, while increasing accuracy from 45% to 73%.