1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Domain Specific Fine-tuning of Denoising Sequence-to-Sequence Models for Natural Language Summarization
Brydon Parker, Alik Sokolov, Mahtab Ahmed +3
Summarization of long-form text data is a problem especially pertinent in knowledge economy jobs such as medicine and finance, that require continuously remaining informed on a sop…
The Karlskrona manifesto for sustainability design
Christoph Becker, Ruzanna Chitchyan, Leticia Duboc +10
Sustainability is a central concern for our society, and software systems increasingly play a central role in it. As designers of software technology, we cause change and are respo…