3 papers
cs.ET2026
Position: Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives
Shaina Raza, Iuliia Zarubiieva, Ahmed Y. Radwan +4
Open-source AI is scaling rapidly, and model hubs now host millions of artifacts. Each foundation model can spawn large numbers of fine-tunes, adapters, quantizations, merges, and…
cs.LG2026
Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights
Tahniat Khan, Soroor Motie, Sedef Akinli Kocak +1
The rapid adoption of large language models (LLMs) has led to significant energy consumption and carbon emissions, posing a critical challenge to the sustainability of generative A…
cs.AI2026
Interpreting Agentic Systems: Beyond Model Explanations to System-Level Accountability
Judy Zhu, Dhari Gandhi, Himanshu Joshi +3
Agentic systems have transformed how Large Language Models (LLMs) can be leveraged to create autonomous systems with goal-directed behaviors, consisting of multi-step planning and…