GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search

ArXi:2602.15423v2 Announce Type: replace-cross As the burgeoning power requirements of sophisticated neural architectures escalate, the information retrieval community has recognized ecological sustainability as a pivotal priority that necessitates a fundamental paradigm shift in model design. While contemporary neural rankers have attained unprecedented accuracy, the substantial environmental externalities associated with their computational intensity often remain overlooked in large-scale deployments.