SWEnergy: Analyzing Energy Efficiency of Agent-Based Issue Resolution with SLMs
Published:Dec 10, 2025 11:28
•1 min read
•ArXiv
Analysis
This research, published on ArXiv, investigates the energy consumption of agentic issue resolution frameworks when utilizing SLMs. Understanding and optimizing energy efficiency is crucial for the sustainable development and deployment of these complex AI systems.
Key Takeaways
- •Focuses on the energy efficiency of agentic issue resolution.
- •Utilizes SLMs within the studied frameworks.
- •Published as a pre-print on ArXiv, suggesting early-stage research.
Reference
“The study focuses on the energy efficiency of agentic issue resolution frameworks.”