Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Jiasheng, Cao, Boxi, Ma, Zhengzhao, Pan, Ruotong, Lin, Hongyu, Lu, Yaojie, Han, Xianpei, Sun, Le |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
by: Zheng, Jiasheng, et al.
Published: (2026)
by: Zheng, Jiasheng, et al.
Published: (2026)
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination
by: Zheng, Jiasheng, et al.
Published: (2026)
by: Zheng, Jiasheng, et al.
Published: (2026)
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
by: Zhu, Qiming, et al.
Published: (2024)
by: Zhu, Qiming, et al.
Published: (2024)
Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
by: Zhu, Qiming, et al.
Published: (2025)
by: Zhu, Qiming, et al.
Published: (2025)
EmbedAgent: Benchmarking Large Language Models in Embedded System Development
by: Xu, Ruiyang, et al.
Published: (2025)
by: Xu, Ruiyang, et al.
Published: (2025)
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)
by: Wang, Yanlin, et al.
Published: (2024)
LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation
by: Xu, Dong, et al.
Published: (2026)
by: Xu, Dong, et al.
Published: (2026)
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation
by: Zheng, Dewu, et al.
Published: (2024)
by: Zheng, Dewu, et al.
Published: (2024)
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
by: Li, Yuangang, et al.
Published: (2026)
by: Li, Yuangang, et al.
Published: (2026)
A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends
by: Zheng, Zibin, et al.
Published: (2023)
by: Zheng, Zibin, et al.
Published: (2023)
Multi-Facet Counterfactual Learning for Content Quality Evaluation
by: Zheng, Jiasheng, et al.
Published: (2024)
by: Zheng, Jiasheng, et al.
Published: (2024)
Modularization is Better: Effective Code Generation with Modular Prompting
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond
by: Le-Anh, Minh, et al.
Published: (2026)
by: Le-Anh, Minh, et al.
Published: (2026)
NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
by: Deng, Le, et al.
Published: (2025)
by: Deng, Le, et al.
Published: (2025)
FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks
by: Dai, Dekun, et al.
Published: (2025)
by: Dai, Dekun, et al.
Published: (2025)
SimpleDevQA: Benchmarking Large Language Models on Development Knowledge QA
by: Zhang, Jing, et al.
Published: (2025)
by: Zhang, Jing, et al.
Published: (2025)
SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking
by: Ma, Hongru, et al.
Published: (2025)
by: Ma, Hongru, et al.
Published: (2025)
Large Language Model Unlearning for Source Code
by: Jiang, Xue, et al.
Published: (2025)
by: Jiang, Xue, et al.
Published: (2025)
Beyond Language Barriers: Multi-Agent Coordination for Multi-Language Code Generation
by: Moumoula, Micheline Bénédicte, et al.
Published: (2025)
by: Moumoula, Micheline Bénédicte, et al.
Published: (2025)
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
by: Yan, Kaiwen, et al.
Published: (2025)
by: Yan, Kaiwen, et al.
Published: (2025)
Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
by: Zheng, Dewu, et al.
Published: (2024)
by: Zheng, Dewu, et al.
Published: (2024)
A Multi-Language Object-Oriented Programming Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
by: Sun, Zhihong, et al.
Published: (2025)
by: Sun, Zhihong, et al.
Published: (2025)
CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
by: Yin, Wenjing, et al.
Published: (2025)
by: Yin, Wenjing, et al.
Published: (2025)
Benchmarking Correctness and Security in Multi-Turn Code Generation
by: Rawal, Ruchit, et al.
Published: (2025)
by: Rawal, Ruchit, et al.
Published: (2025)
DesignCoder: Hierarchy-Aware and Self-Correcting UI Code Generation with Large Language Models
by: Chen, Yunnong, et al.
Published: (2025)
by: Chen, Yunnong, et al.
Published: (2025)
Can Large Language Models Serve as Evaluators for Code Summarization?
by: Wu, Yang, et al.
Published: (2024)
by: Wu, Yang, et al.
Published: (2024)
Beyond Code Generation: Assessing Code LLM Maturity with Postconditions
by: He, Fusen, et al.
Published: (2024)
by: He, Fusen, et al.
Published: (2024)
On the Effectiveness of Large Language Models in Domain-Specific Code Generation
by: Gu, Xiaodong, et al.
Published: (2023)
by: Gu, Xiaodong, et al.
Published: (2023)
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
by: Manh, Dung Nguyen, et al.
Published: (2024)
by: Manh, Dung Nguyen, et al.
Published: (2024)
QuanBench: Benchmarking Quantum Code Generation with Large Language Models
by: Guo, Xiaoyu, et al.
Published: (2025)
by: Guo, Xiaoyu, et al.
Published: (2025)
Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models
by: Yan, Xinru, et al.
Published: (2026)
by: Yan, Xinru, et al.
Published: (2026)
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis
by: Li, Fengjie, et al.
Published: (2024)
by: Li, Fengjie, et al.
Published: (2024)
CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026)
by: Padwal, Vedant
Published: (2026)
AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
by: Zhu, Yueheng, et al.
Published: (2025)
by: Zhu, Yueheng, et al.
Published: (2025)
Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection
by: Zhang, Ting, et al.
Published: (2025)
by: Zhang, Ting, et al.
Published: (2025)
Beyond Strict Rules: Assessing the Effectiveness of Large Language Models for Code Smell Detection
by: Souza, Saymon, et al.
Published: (2026)
by: Souza, Saymon, et al.
Published: (2026)
Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems
by: Zhao, Chenyu, et al.
Published: (2025)
by: Zhao, Chenyu, et al.
Published: (2025)
Empirical Evaluation of Large Language Models in Automated Program Repair
by: Sun, Jiajun, et al.
Published: (2025)
by: Sun, Jiajun, et al.
Published: (2025)
Similar Items
-
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
by: Zheng, Jiasheng, et al.
Published: (2026) -
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination
by: Zheng, Jiasheng, et al.
Published: (2026) -
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
by: Zhu, Qiming, et al.
Published: (2024) -
Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
by: Zhu, Qiming, et al.
Published: (2025) -
EmbedAgent: Benchmarking Large Language Models in Embedded System Development
by: Xu, Ruiyang, et al.
Published: (2025)