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News/CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
arxiv
PublishedMay 19, 2026 at 4:00 AM

CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models

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arXiv:2508.06524v2 Announce Type: replace-cross Abstract: Large language models (LLMs) increasingly follow neural scaling laws that tie performance gains to rapidly expanding computational budgets, raising concerns about the sustainability of frontier-scale training. Existing carbon-estimation metho

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