AI RESEARCH
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
arXiv CS.LG
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ArXi:2604.25903v1 Announce Type: cross The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models nstrate remarkable capabilities in different SE tasks, they are unmanageably large, slow to deploy, memory-intensive, and carbon-heavy. This reality threatens not only the scalability and accessibility of AI-powered SE, but also its long-term environmental sustainability.