GaiaFlow combines semantic-guided diffusion tuning with early-exit and quantization methods to lower carbon emissions in neural information retrieval while maintaining competitive effectiveness.
Diffusion models as constrained samplers for optimization with unknown constraints.arXiv preprint arXiv:2402.18012, 2024
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GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search
GaiaFlow combines semantic-guided diffusion tuning with early-exit and quantization methods to lower carbon emissions in neural information retrieval while maintaining competitive effectiveness.
- Proximal-Based Generative Modeling for Bayesian Inverse Problems