Cover Image

ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Su-Hyeon, Hahn, Joonghyuk, Cha, Sooyoung, Han, Yo-Sub
Format:	Preprint
Published:	2025
Subjects:	Programming Languages Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MEC$^3$O: Multi-Expert Consensus for Code Time Complexity Prediction
by: Hahn, Joonghyuk, et al.
Published: (2025)

ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation
by: Lim, Soohan, et al.
Published: (2025)

ReSyn: A Generalized Recursive Regular Expression Synthesis Framework
by: Kim, Seongmin, et al.
Published: (2026)

Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025)

TCProF: Time-Complexity Prediction SSL Framework
by: Hahn, Joonghyuk, et al.
Published: (2025)

LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT
by: Xu, Zhenyu, et al.
Published: (2024)

Repairing Regex Vulnerabilities via Localization-Guided Instructions
by: Sung, Sicheol, et al.
Published: (2025)

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
by: Fang, Sen, et al.
Published: (2025)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)

AI-Mediated Code Comment Improvement
by: Dhakal, Maria, et al.
Published: (2025)

A Problem-Oriented Perspective and Anchor Verification for Code Optimization
by: Ye, Tong, et al.
Published: (2024)

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
by: Tang, Hao, et al.
Published: (2024)

AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)

Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)

REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
by: Saieva, Anthony, et al.
Published: (2023)

Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
by: Chen, Le, et al.
Published: (2025)

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
by: Chon, Heejae, et al.
Published: (2024)

Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support
by: Du, Alexander, et al.
Published: (2026)

Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)

CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
by: Dandamudi, Rohit, et al.
Published: (2024)

Dynamic Stability of LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2025)

CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)

AInsteinBench: Benchmarking Coding Agents on Scientific Repositories
by: Duston, Titouan, et al.
Published: (2025)

Effective LLM-Driven Code Generation with Pythoness
by: Levin, Kyla H., et al.
Published: (2025)

Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)

AI-Assisted Fixes to Code Review Comments at Scale
by: Maddila, Chandra, et al.
Published: (2025)

Search-Based LLMs for Code Optimization
by: Gao, Shuzheng, et al.
Published: (2024)

Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes
by: Dearing, Matthew T., et al.
Published: (2025)

Insights from the Usage of the Ansible Lightspeed Code Completion Service
by: Sahoo, Priyam, et al.
Published: (2024)

PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)

EnvTrace: Simulation-Based Semantic Evaluation of LLM Code via Execution Trace Alignment -- Demonstrated at Synchrotron Beamlines
by: van der Vleuten, Noah, et al.
Published: (2025)

Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation
by: Antal, Gábor, et al.
Published: (2024)

Executing as You Generate: Hiding Execution Latency in LLM Code Generation
by: Sun, Zhensu, et al.
Published: (2026)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
by: Sun, Qiushi, et al.
Published: (2024)

From Code Generation to Software Testing: AI Copilot with Context-Based RAG
by: Wang, Yuchen, et al.
Published: (2025)

AutoMCQ -- Automatically Generate Code Comprehension Questions using GenAI
by: Goodfellow, Martin, et al.
Published: (2025)

Lita: Light Agent Uncovers the Agentic Coding Capabilities of LLMs
by: Dai, Hankun, et al.
Published: (2025)

Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models
by: Esmaeili, Amirreza, et al.
Published: (2025)