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This paper investigates the lack of standardized reporting on computational and environmental costs of LLMs in AIED research, reviewing 396 AIED 2025 papers and proposing an open-source method to measure and report these impacts.
This paper proposes a carbon-aware re-ranking strategy for e-commerce recommendations, using a retrieval-augmented pipeline to estimate product carbon footprints and trading off predicted engagement against sustainability. Evaluated on Amazon Reviews data, substantial carbon reductions are achievable with minimal engagement loss.