AI RESEARCH
EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents
arXiv CS.AI
•
ArXi:2603.25498v1 Announce Type: new As the Web transitions from static retrieval to generative interaction, the escalating environmental footprint of Large Language Models (LLMs) presents a critical sustainability challenge. Current paradigms indiscriminately apply computation-intensive strategies like Chain-of-Thought (CoT) to billions of daily queries, causing LLM overthinking, a redundancy that amplifies carbon emissions and operational barriers.