9 citations · 10 across the 9 of their papers we have counts for
10 papers
AgentDecarbonizer: Carbon-Aware Execution for AI Agents
Leyi Yan, Shuangning Li, Sihang Liu
AI agents extend large language models from single prompt-response interactions to long-running, goaldirected workflows that issue many model calls, invoke tools, and interact with…
Generate "Normal", Edit Poisoned: Branding Injection via Hint Embedding in Image Editing
Desen Sun, Jason Hon, Howe Wang +3
With the rapid advancement of generative AI, users increasingly rely on image-generation models for image design and creation. To achieve faithful outputs, users typically engage i…
HybridStitch: Token-Adaptive Model Stitching for Efficient Diffusion Generation
Desen Sun, Jason Hon, Jintao Zhang +1
Iterative diffusion generation requires different amounts of model capacity at different token positions. Prior model combinations allocate capacity by denoising step or by draftin…
Attacks on Approximate Caches in Text-to-Image Diffusion Models
Desen Sun, Shuncheng Jie, Sihang Liu
Diffusion models are a powerful class of generative models that produce images and other content from user prompts, but they are computationally intensive. To mitigate this cost, r…
EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting
Leyi Yan, Linda Wang, Sihang Liu +1
Carbon intensity (CI) measures the average carbon emissions generated per unit of electricity, making it a crucial metric for quantifying and managing the environmental impact. Acc…
Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
Yuyang Tian, Desen Sun, Yi Ding +1
As large language models (LLMs) become widely used, their environmental impact, especially carbon emission, has attracted more attention. Prior studies focus on compute-related car…
Towards Sustainable Large Language Model Serving
Sophia Nguyen, Beihao Zhou, Yi Ding +1
In this work, we study LLMs from a carbon emission perspective, addressing both operational and embodied emissions, and paving the way for sustainable LLM serving. We characterize…
GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
Tianyao Shi, Yanran Wu, Sihang Liu +1
LLMs have been widely adopted across many real-world applications. However, their widespread use comes with significant environmental costs due to their high computational intensit…
FlexCache: Flexible Approximate Cache System for Video Diffusion
Desen Sun, Henry Tian, Tim Lu +1
Text-to-Video applications receive increasing attention from the public. Among these, diffusion models have emerged as the most prominent approach, offering impressive quality in v…
Uncertainty-Aware Decarbonization for Datacenters
Amy Li, Sihang Liu, Yi Ding
This paper represents the first effort to quantify uncertainty in carbon intensity forecasting for datacenter decarbonization. We identify and analyze two types of uncertainty -- t…