Imagen de Portada

Rethinking Code Complexity Through the Lens of Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xie, Chen, Gu, Xiaodong, Shi, Yuling, Shen, Beijun
Formato:	Preprint
Publicado:	2026
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LongCodeZip: Compress Long Context for Code Language Models
por: Shi, Yuling, et al.
Publicado: (2025)

Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
por: Tao, Qingxiao, et al.
Publicado: (2024)

Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models
por: Yun, Shangbo, et al.
Publicado: (2025)

In Line with Context: Repository-Level Code Generation via Context Inlining
por: Hu, Chao, et al.
Publicado: (2026)

SWE-QA: Can Language Models Answer Repository-level Code Questions?
por: Peng, Weihan, et al.
Publicado: (2025)

Zero-Shot Code Representation Learning via Prompt Tuning
por: Cui, Nan, et al.
Publicado: (2024)

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
por: Xie, Chen, et al.
Publicado: (2025)

Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
por: Chang, Pengyu, et al.
Publicado: (2026)

Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
por: Yin, Zhe, et al.
Publicado: (2025)

Cross-Domain Deep Code Search with Meta Learning
por: Chai, Yitian, et al.
Publicado: (2022)

APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs
por: Wang, Chaofan, et al.
Publicado: (2025)

Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
por: Jiang, Yuze, et al.
Publicado: (2024)

CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs
por: Tao, Qingxiao, et al.
Publicado: (2026)

EvoC2Rust: A Skeleton-guided Framework for Project-Level C-to-Rust Translation
por: Wang, Chaofan, et al.
Publicado: (2025)

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
por: Shi, Yuling, et al.
Publicado: (2026)

SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation
por: Wang, Yongpan, et al.
Publicado: (2025)

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
por: Chen, Yeheng, et al.
Publicado: (2026)

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
por: Chen, Zhi, et al.
Publicado: (2026)

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
por: Shi, Yuling, et al.
Publicado: (2024)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
por: Gu, Xiaodong, et al.
Publicado: (2023)

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

Ecosystem of Large Language Models for Code
por: Yang, Zhou, et al.
Publicado: (2024)

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

Greening Large Language Models of Code
por: Shi, Jieke, et al.
Publicado: (2023)

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
por: Gui, Ningxin, et al.
Publicado: (2025)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
por: Feng, Jia, et al.
Publicado: (2024)

SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
por: Wang, Yuhang, et al.
Publicado: (2026)

Can Large Language Models Generate Geospatial Code?
por: Hou, Shuyang, et al.
Publicado: (2024)

Aligning Requirement for Large Language Model's Code Generation
por: Tian, Zhao, et al.
Publicado: (2025)

VulStamp: Vulnerability Assessment using Large Language Model
por: Shen, Hao, et al.
Publicado: (2025)

Can Large Language Models Serve as Evaluators for Code Summarization?
por: Wu, Yang, et al.
Publicado: (2024)

Rethinking Legal Compliance Automation: Opportunities with Large Language Models
por: Hassani, Shabnam, et al.
Publicado: (2024)

Bridging Code Graphs and Large Language Models for Better Code Understanding
por: Chen, Zeqi, et al.
Publicado: (2025)

Narrowing the Complexity Gap in the Evaluation of Large Language Models
por: Chen, Yang, et al.
Publicado: (2026)

Hotfixing Large Language Models for Code
por: Yang, Zhou, et al.
Publicado: (2024)

Advancing Code Coverage: Incorporating Program Analysis with Large Language Models
por: Yang, Chen, et al.
Publicado: (2024)

DCE-LLM: Dead Code Elimination with Large Language Models
por: Chen, Minyu, et al.
Publicado: (2025)

Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
por: Shen, Jianru, et al.
Publicado: (2026)

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework
por: Zhang, Hang, et al.
Publicado: (2025)

Rethinking Technology Stack Selection with AI Coding Proficiency
por: Zhang, Xiaoyu, et al.
Publicado: (2025)