CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Roy, Monoshi Kumar, Chen, Simin, Steenhoek, Benjamin, Peng, Jinjun, Kaiser, Gail, Ray, Baishakhi, Le, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024)
by: Ding, Yangruibo, et al.
Published: (2024)
Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
by: Chen, Simin, et al.
Published: (2025)
by: Chen, Simin, et al.
Published: (2025)
CYCLE: Learning to Self-Refine the Code Generation
by: Ding, Yangruibo, et al.
Published: (2024)
by: Ding, Yangruibo, et al.
Published: (2024)
Code Reasoning for Software Engineering Tasks: A Survey and A Call to Action
by: Pujar, Saurabh, et al.
Published: (2025)
by: Pujar, Saurabh, et al.
Published: (2025)
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
by: Kim, Myeongsoo, et al.
Published: (2025)
by: Kim, Myeongsoo, et al.
Published: (2025)
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
by: Steenhoek, Benjamin, et al.
Published: (2024)
by: Steenhoek, Benjamin, et al.
Published: (2024)
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
by: Peng, Jinjun, et al.
Published: (2025)
by: Peng, Jinjun, et al.
Published: (2025)
Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
by: Chen, Simin, et al.
Published: (2025)
by: Chen, Simin, et al.
Published: (2025)
SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications
by: Nitin, Vikram, et al.
Published: (2024)
by: Nitin, Vikram, et al.
Published: (2024)
REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
by: Saieva, Anthony, et al.
Published: (2023)
by: Saieva, Anthony, et al.
Published: (2023)
Trustworthy AI Software Engineers
by: Aleti, Aldeida, et al.
Published: (2026)
by: Aleti, Aldeida, et al.
Published: (2026)
Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
by: Chen, Simin, et al.
Published: (2025)
by: Chen, Simin, et al.
Published: (2025)
Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
by: Garg, Spandan, et al.
Published: (2025)
by: Garg, Spandan, et al.
Published: (2025)
Code Quality Analysis of Translations from C to Rust
by: Tadesse, Biruk, et al.
Published: (2026)
by: Tadesse, Biruk, et al.
Published: (2026)
Evaluating LLMs Code Reasoning Under Real-World Context
by: Liu, Changshu
Published: (2026)
by: Liu, Changshu
Published: (2026)
Automated Code Editing with Search-Generate-Modify
by: Liu, Changshu, et al.
Published: (2023)
by: Liu, Changshu, et al.
Published: (2023)
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
by: Min, Marcus J., et al.
Published: (2023)
by: Min, Marcus J., et al.
Published: (2023)
EditLord: Learning Code Transformation Rules for Code Editing
by: Li, Weichen, et al.
Published: (2025)
by: Li, Weichen, et al.
Published: (2025)
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)
Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code
by: Kim, Myeongsoo, et al.
Published: (2026)
by: Kim, Myeongsoo, et al.
Published: (2026)
From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
by: Mathai, Alex, et al.
Published: (2024)
by: Mathai, Alex, et al.
Published: (2024)
REFINE: Enhancing Program Repair Agents through Context-Aware Patch Refinement
by: Pabba, Anvith, et al.
Published: (2025)
by: Pabba, Anvith, et al.
Published: (2025)
LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation
by: Kuhar, Sachit, et al.
Published: (2024)
by: Kuhar, Sachit, 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)
by: Zhao, Songwen, et al.
Published: (2025)
An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning
by: Li, Yikun, et al.
Published: (2026)
by: Li, Yikun, et al.
Published: (2026)
COFFE: A Code Efficiency Benchmark for Code Generation
by: Peng, Yun, et al.
Published: (2025)
by: Peng, Yun, et al.
Published: (2025)
Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings
by: Liu, Changshu, et al.
Published: (2025)
by: Liu, Changshu, et al.
Published: (2025)
CRQBench: A Benchmark of Code Reasoning Questions
by: Dinella, Elizabeth, et al.
Published: (2024)
by: Dinella, Elizabeth, et al.
Published: (2024)
Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study
by: Ceka, Ira, et al.
Published: (2025)
by: Ceka, Ira, et al.
Published: (2025)
RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
ConceptCoder: Improve Code Reasoning via Concept Learning
by: Rahman, Md Mahbubur, et al.
Published: (2026)
by: Rahman, Md Mahbubur, et al.
Published: (2026)
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)
by: Zhang, Yuhao, et al.
Published: (2024)
SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)
by: Xu, Yisen, et al.
Published: (2026)
Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection
by: Ceka, Ira, et al.
Published: (2024)
by: Ceka, Ira, et al.
Published: (2024)
SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning
by: Peng, Jinjun, et al.
Published: (2026)
by: Peng, Jinjun, et al.
Published: (2026)
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
SeRe: A Security-Related Code Review Dataset Aligned with Real-World Review Activities
by: Zhao, Zixiao, et al.
Published: (2026)
by: Zhao, Zixiao, et al.
Published: (2026)
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
by: Zhang, Kechi, et al.
Published: (2024)
by: Zhang, Kechi, et al.
Published: (2024)
Similar Items
-
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024) -
Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
by: Chen, Simin, et al.
Published: (2025) -
CYCLE: Learning to Self-Refine the Code Generation
by: Ding, Yangruibo, et al.
Published: (2024) -
Code Reasoning for Software Engineering Tasks: A Survey and A Call to Action
by: Pujar, Saurabh, et al.
Published: (2025) -
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
by: Kim, Myeongsoo, et al.
Published: (2025)