Cover Image

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Jiawei, Li, Ziming, Liu, Xueling, Ma, Kaijing, Zheng, Tianyu, Yu, Zhouliang, Pan, Ding, LI, Yizhi, Liu, Ruibo, Wang, Yue, Guo, Shuyue, Qu, Xingwei, Yue, Xiang, Zhang, Ge, Chen, Wenhu, Fu, Jie
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
by: Zheng, Tianyu, et al.
Published: (2024)

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
by: Ma, Kaijing, et al.
Published: (2024)

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
by: Zheng, Tianyu, et al.
Published: (2024)

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation
by: Ni, Yuansheng, et al.
Published: (2025)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
by: Du, Xinrun, et al.
Published: (2024)

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
by: Wu, Siwei, et al.
Published: (2024)

CodeSimpleQA: Scaling Factuality in Code Large Language Models
by: Yang, Jian, et al.
Published: (2025)

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

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

MAmmoTH2: Scaling Instructions from the Web
by: Yue, Xiang, et al.
Published: (2024)

Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation
by: Qu, Xingwei, et al.
Published: (2024)

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
by: Ding, Yifeng, et al.
Published: (2024)

Extralinguistic Basis of Color Coding
by: L.I. GALIULLINA
Published: (2020)

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
by: Hua, Tianyu, et al.
Published: (2025)

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models
by: Zhang, Alexander, et al.
Published: (2025)

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis
by: Yang, Chen, et al.
Published: (2024)

CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages
by: Yang, Yilun, et al.
Published: (2025)

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction
by: Guo, Zichun, et al.
Published: (2026)

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
by: Wang, Yubo, et al.
Published: (2025)

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators
by: Chou, Jason, et al.
Published: (2025)

Automated Code Editing with Search-Generate-Modify
by: Liu, Changshu, et al.
Published: (2023)

Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction
by: Zhang, Zhe, et al.
Published: (2025)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
by: Yan, Kaiwen, et al.
Published: (2025)

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
by: Peng, Zhongyuan, et al.
Published: (2025)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
by: Zhuo, Terry Yue, et al.
Published: (2024)

MuPT: A Generative Symbolic Music Pretrained Transformer
by: Qu, Xingwei, et al.
Published: (2024)

CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
by: Huang, Yiming, et al.
Published: (2024)

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
by: Ku, Max, et al.
Published: (2025)

LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code
by: Guo, Liwei, et al.
Published: (2025)

Long-context LLMs Struggle with Long In-context Learning
by: Li, Tianle, et al.
Published: (2024)

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
by: Hong, Hanhua, et al.
Published: (2026)

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
by: Liu, Yue, et al.
Published: (2025)

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
by: Li, Yizhi, et al.
Published: (2025)

QuanBench: Benchmarking Quantum Code Generation with Large Language Models
by: Guo, Xiaoyu, et al.
Published: (2025)

Generalizable 3D Gaussian Splatting enabled Semantic Coding for Real-Time Immersive Video Communications
by: Yang, Dingxi, et al.
Published: (2026)

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
by: Guo, Jarvis, et al.
Published: (2024)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
by: Li, Linyi, et al.
Published: (2024)

BCH Coding Assisted Imaging
by: Jiang, Hao, et al.
Published: (2026)

SecCodeBench-V2 Technical Report
by: Chen, Longfei, et al.
Published: (2026)