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20232026
most citedLarge Language Models for Energy-Efficient Code: Emerging Results and Future Directions

1 citations · 1 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.SE2026

How Do Coding Agents Optimize Software and Report Performance Validation? A Large-Scale Empirical Study of Open-Source Pull Requests

Huiyun Peng, Ricardo Calvo, Kelechi G. Kalu +1

Software performance optimization requires identifying bottlenecks and improvement opportunities, and empirically evaluating the effects and trade-offs across performance objective…

cs.SE2026

Model-Based Agentic Software Engineering

James C. Davis, Kelechi Kalu, Huiyun Peng +1

Coding agents increase implementation capacity without automatically making project intent, system structure, or acceptance evidence explicit. As implementation becomes abundant re…

cs.SE2026

Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization

Huiyun Peng, Parth Vinod Patil, Antonio Zhong Qiu +2

Large language models and AI agents have recently shown promise in automating software performance optimization, but existing approaches predominantly rely on local, syntax-driven…

cs.SE2025

How Do Agents Perform Code Optimization? An Empirical Study

Huiyun Peng, Antonio Zhong, Ricardo Andrés Calvo Méndez +2

Performance optimization is a critical yet challenging aspect of software development, often requiring a deep understanding of system behavior, algorithmic tradeoffs, and careful c…

cs.SE2025

AgentHub: A Registry for Discoverable, Verifiable, and Reproducible AI Agents

Erik Pautsch, Tanmay Singla, Parv Kumar +6

LLM-based agents are rapidly proliferating, yet the infrastructure for discovering, evaluating, and governing them remains fragmented compared to mature ecosystems like software pa…

cs.SE2025

SysLLMatic: Large Language Models are Software System Optimizers

Huiyun Peng, Arjun Gupte, Ryan Hasler +7

Automatic software system optimization can improve software speed, reduce operating costs, and save energy. Traditional approaches to optimization rely on manual tuning and compile…

cs.SE2024★ 1 cited

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos +8

Energy-efficient software helps improve mobile device experiences and reduce the carbon footprint of data centers. However, energy goals are often de-prioritized in order to meet o…