Cover Image

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Dong, Dai, Jianbo, Weng, Han, Wu, Puzhen, Qing, Yuhao, Cui, Heming, Guo, Zhijiang, Zhang, Jie M.
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
by: Huang, Dong, et al.
Published: (2024)

EffiBench: Benchmarking the Efficiency of Automatically Generated Code
by: Huang, Dong, et al.
Published: (2024)

CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
by: Huang, Dong, et al.
Published: (2023)

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
by: Wang, Zimu, et al.
Published: (2026)

EffiReasonTrans: RL-Optimized Reasoning for Code Translation
by: Wang, Yanlin, et al.
Published: (2025)

Measuring the Influence of Incorrect Code on Test Generation
by: Huang, Dong, et al.
Published: (2024)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
by: Du, Mingzhe, et al.
Published: (2025)

Bias Testing and Mitigation in LLM-based Code Generation
by: Huang, Dong, et al.
Published: (2023)

CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation
by: Chen, Zaoyu, et al.
Published: (2026)

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability
by: Huang, Dong, et al.
Published: (2024)

TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation
by: Gong, Zhihao, et al.
Published: (2026)

TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation
by: Gong, Zhihao, et al.
Published: (2025)

EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback
by: Hajizadeh, Samira, et al.
Published: (2026)

DSCodeBench: A Realistic Benchmark for Data Science Code Generation
by: Ouyang, Shuyin, et al.
Published: (2025)

Measuring Code Efficiency Optimization Capabilities with ACEOB
by: Pan, Yue, et al.
Published: (2024)

COFFE: A Code Efficiency Benchmark for Code Generation
by: Peng, Yun, et al.
Published: (2025)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
by: Zhang, Kechi, et al.
Published: (2024)

Self-collaboration Code Generation via ChatGPT
by: Dong, Yihong, et al.
Published: (2023)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
by: Zhang, Kechi, et al.
Published: (2025)

On Evaluating the Efficiency of Source Code Generated by LLMs
by: Niu, Changan, et al.
Published: (2024)

Self-planning Code Generation with Large Language Models
by: Jiang, Xue, et al.
Published: (2023)

SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints
by: Fan, Zhiyu, et al.
Published: (2025)

The Role of DevOps in Enhancing Enterprise Software Delivery Success through R&D Efficiency and Source Code Management
by: Cui, Jun
Published: (2024)

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation
by: Dong, Jinhao, et al.
Published: (2024)

SEER: Enhancing Chain-of-Thought Code Generation through Self-Exploring Deep Reasoning
by: Gao, Shuzheng, et al.
Published: (2025)

IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
by: Rong, Yuyang, et al.
Published: (2024)

Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis
by: Nia, Atieh Barati, et al.
Published: (2025)

Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)

On the Effectiveness of Training Data Optimization for LLM-based Code Generation: An Empirical Study
by: Kuang, Shiqi, et al.
Published: (2025)

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
by: Wu, Yue, et al.
Published: (2025)

AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code
by: Solovyeva, Lola, et al.
Published: (2025)

Engaging Young Learners with Testing Using the Code Critters Mutation Game
by: Straubinger, Philipp, et al.
Published: (2024)

PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing
by: Ren, Xiaoxue, et al.
Published: (2025)

Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency
by: Hu, Junwei, et al.
Published: (2025)

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization
by: Huang, Yixu, et al.
Published: (2026)

CodeScore: Evaluating Code Generation by Learning Code Execution
by: Dong, Yihong, et al.
Published: (2023)

CodeArena: A Collective Evaluation Platform for LLM Code Generation
by: Du, Mingzhe, et al.
Published: (2025)

Teaching Loop Testing to Young Learners with the Code Critters Mutation Testing Game
by: Straubinger, Philipp, et al.
Published: (2025)

Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
by: Wu, Fan, et al.
Published: (2026)

Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation
by: Fahim, Md Asif Iqbal, et al.
Published: (2026)