Cover Image

Towards Exception Safety Code Generation with Intermediate Representation Agents Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xuanming, Chen, Yuxuan, Yuan, Yuan, Huang, Minlie
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

Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework
by: Zhang, Xuanming, et al.
Published: (2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
by: Li, Jia, et al.
Published: (2024)

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

VersiCode: Towards Version-controllable Code Generation
by: Wu, Tongtong, et al.
Published: (2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
by: Zhao, Songwen, et al.
Published: (2025)

Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
by: Wang, Junqiao, et al.
Published: (2024)

KCoEvo: A Knowledge Graph Augmented Framework for Evolutionary Code Generation
by: Kang, Jiazhen, et al.
Published: (2026)

Dafny as Verification-Aware Intermediate Language for Code Generation
by: Li, Yue Chen, et al.
Published: (2025)

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

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

Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)

Selective Prompt Anchoring for Code Generation
by: Tian, Yuan, et al.
Published: (2024)

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

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation
by: Fu, Lingyue, et al.
Published: (2025)

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence
by: Yang, Jian, et al.
Published: (2025)

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

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
by: Wang, Jiexin, et al.
Published: (2024)

Code Fingerprints: Disentangled Attribution of LLM-Generated Code
by: Guo, Jiaxun, et al.
Published: (2026)

Is Your Benchmark (Still) Useful? Dynamic Benchmarking for Code Language Models
by: Guan, Batu, et al.
Published: (2025)

Unveiling the Power of Intermediate Representations for Static Analysis: A Survey
by: Zhang, Bowen, et al.
Published: (2024)

ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code Generation
by: Liu, Kaiyuan, et al.
Published: (2025)

SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
by: Xia, Xiao, et al.
Published: (2024)

CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks
by: Fu, Lingyue, et al.
Published: (2025)

GenX: Mastering Code and Test Generation with Execution Feedback
by: Wang, Nan, et al.
Published: (2024)

Evaluation of Code LLMs on Geospatial Code Generation
by: Gramacki, Piotr, et al.
Published: (2024)

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
by: Huang, Dong, et al.
Published: (2024)

FairCoder: Evaluating Social Bias of LLMs in Code Generation
by: Du, Yongkang, et al.
Published: (2025)

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
by: Bi, Zhangqian, et al.
Published: (2024)

DevEval: Evaluating Code Generation in Practical Software Projects
by: Li, Jia, et al.
Published: (2024)

AgentPack: A Dataset of Code Changes, Co-Authored by Agents and Humans
by: Zi, Yangtian, et al.
Published: (2025)

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

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

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
by: Lin, Jiahang, et al.
Published: (2026)

BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?
by: Chen, Guoxin, et al.
Published: (2026)

VisCoder2: Building Multi-Language Visualization Coding Agents
by: Ni, Yuansheng, et al.
Published: (2025)

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation
by: Wang, Sizhe, et al.
Published: (2025)

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
by: Dou, Shihan, et al.
Published: (2024)

CodeRAG-Bench: Can Retrieval Augment Code Generation?
by: Wang, Zora Zhiruo, et al.
Published: (2024)

FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation
by: Li, Wei, et al.
Published: (2025)