Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jian, Xie, Xiaofei, Hu, Qiang, Liu, Shangqing, Li, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
by: Ma, Wei, et al.
Published: (2022)
by: Ma, Wei, et al.
Published: (2022)
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
by: Guo, Chengquan, et al.
Published: (2024)
by: Guo, Chengquan, et al.
Published: (2024)
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
by: Dong, Zeming, et al.
Published: (2024)
by: Dong, Zeming, et al.
Published: (2024)
An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning
by: Li, Yikun, et al.
Published: (2026)
by: Li, Yikun, et al.
Published: (2026)
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
by: Nguyen, Thu-Trang, et al.
Published: (2024)
by: Nguyen, Thu-Trang, et al.
Published: (2024)
Traces of Memorisation in Large Language Models for Code
by: Al-Kaswan, Ali, et al.
Published: (2023)
by: Al-Kaswan, Ali, et al.
Published: (2023)
EnvTrace: Simulation-Based Semantic Evaluation of LLM Code via Execution Trace Alignment -- Demonstrated at Synchrotron Beamlines
by: van der Vleuten, Noah, et al.
Published: (2025)
by: van der Vleuten, Noah, et al.
Published: (2025)
A Code Comprehension Benchmark for Large Language Models for Code
by: Havare, Jayant, et al.
Published: (2025)
by: Havare, Jayant, et al.
Published: (2025)
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization
by: Li, Jiliang, et al.
Published: (2024)
by: Li, Jiliang, et al.
Published: (2024)
Impact-driven Context Filtering For Cross-file Code Completion
by: Li, Yanzhou, et al.
Published: (2025)
by: Li, Yanzhou, et al.
Published: (2025)
Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models
by: Mächtle, Felix, et al.
Published: (2026)
by: Mächtle, Felix, et al.
Published: (2026)
Semantic Voting: Execution-Grounded Consensus for LLM Code Generation
by: Jiang, Shan, et al.
Published: (2026)
by: Jiang, Shan, et al.
Published: (2026)
Large Language Model Supply Chain: Open Problems From the Security Perspective
by: Hu, Qiang, et al.
Published: (2024)
by: Hu, Qiang, et al.
Published: (2024)
Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
by: Orvalho, Pedro, et al.
Published: (2025)
by: Orvalho, Pedro, et al.
Published: (2025)
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)
by: Jiang, Xue, et al.
Published: (2025)
Large Language Model Critics for Execution-Free Evaluation of Code Changes
by: Yadavally, Aashish, et al.
Published: (2025)
by: Yadavally, Aashish, et al.
Published: (2025)
Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)
by: Tambon, Florian, et al.
Published: (2024)
From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)
by: Li, Yanzhou, et al.
Published: (2025)
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024)
by: Ding, Yangruibo, et al.
Published: (2024)
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)
Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Large Language Model-Driven Code Compliance Checking in Building Information Modeling
by: Madireddy, Soumya, et al.
Published: (2025)
by: Madireddy, Soumya, et al.
Published: (2025)
CodeFort: Robust Training for Code Generation Models
by: Zhang, Yuhao, et al.
Published: (2024)
by: Zhang, Yuhao, et al.
Published: (2024)
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)
by: He, Mengliang, et al.
Published: (2025)
Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)
by: Cihan, Umut, et al.
Published: (2025)
Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)
by: Zhao, ZiXiao, et al.
Published: (2024)
Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)
by: Guo, Yaoqi, et al.
Published: (2024)
Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
by: Li, Chengze, et al.
Published: (2025)
by: Li, Chengze, et al.
Published: (2025)
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
by: Abtahi, Seyed Moein, et al.
Published: (2025)
by: Abtahi, Seyed Moein, et al.
Published: (2025)
SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation
by: He, Yibo, et al.
Published: (2025)
by: He, Yibo, et al.
Published: (2025)
CodeMirage: Hallucinations in Code Generated by Large Language Models
by: Agarwal, Vibhor, et al.
Published: (2024)
by: Agarwal, Vibhor, et al.
Published: (2024)
ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
by: Nam, Doha, et al.
Published: (2025)
by: Nam, Doha, et al.
Published: (2025)
Task Abstention for Large Language Models in Code Generation
by: Zhou, Yanke, et al.
Published: (2026)
by: Zhou, Yanke, et al.
Published: (2026)
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
On the Compression of Language Models for Code: An Empirical Study on CodeBERT
by: d'Aloisio, Giordano, et al.
Published: (2024)
by: d'Aloisio, Giordano, et al.
Published: (2024)
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
Semantic Similarity Loss for Neural Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023)
by: Su, Chia-Yi, et al.
Published: (2023)
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
by: Liu, Xiangyan, et al.
Published: (2024)
by: Liu, Xiangyan, et al.
Published: (2024)
An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation
by: Quoc, Thai Tang, et al.
Published: (2024)
by: Quoc, Thai Tang, et al.
Published: (2024)
Similar Items
-
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
by: Ma, Wei, et al.
Published: (2022) -
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
by: Guo, Chengquan, et al.
Published: (2024) -
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
by: Dong, Zeming, et al.
Published: (2024) -
An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning
by: Li, Yikun, et al.
Published: (2026) -
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
by: Nguyen, Thu-Trang, et al.
Published: (2024)