Cover Image

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Weibo, Liu, Qi, Li, Rui, Zhao, Yuze, Wang, Hao, Yre, Linan, Yao, Fangzhou, Zhang, Zheng
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Context-Augmented Code Generation Using Programming Knowledge Graphs
by: Saberi, Iman, et al.
Published: (2024)

TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs
by: Ezaz, Alireza, et al.
Published: (2026)

Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
by: Gong, Jingzhi, et al.
Published: (2025)

CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs
by: He, Yicheng, et al.
Published: (2026)

On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
by: Chen, Xinyu, et al.
Published: (2024)

Knowledge Tracing in Programming Education Integrating Students' Questions
by: Kim, Doyoun, et al.
Published: (2025)

RePair: Automated Program Repair with Process-based Feedback
by: Zhao, Yuze, et al.
Published: (2024)

KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answering
by: Lin, Hongyu, et al.
Published: (2025)

KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
by: Tao, Wei, et al.
Published: (2024)

An Empirical Study of Knowledge Distillation for Code Understanding Tasks
by: Wang, Ruiqi, et al.
Published: (2025)

ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
by: Wang, Xinyi, et al.
Published: (2025)

CursorCore: Assist Programming through Aligning Anything
by: Jiang, Hao, et al.
Published: (2024)

Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
by: Wang, Jian, et al.
Published: (2025)

A GPT-based Code Review System for Programming Language Learning
by: Dong-Kyu, Lee
Published: (2024)

DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation
by: Wang, Shuai, et al.
Published: (2026)

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
by: Wu, Yutong, et al.
Published: (2024)

CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
by: Feng, Ruijun, et al.
Published: (2025)

Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)

Fine-Tuning Code Language Models to Detect Cross-Language Bugs
by: Li, Zengyang, et al.
Published: (2025)

CodeShell Technical Report
by: Xie, Rui, et al.
Published: (2024)

Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
by: Liu, Mingwei, et al.
Published: (2025)

SCoGen: Scenario-Centric Graph-Based Synthesis of Real-World Code Problems
by: Yao, Xifeng, et al.
Published: (2025)

Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, et al.
Published: (2024)

MarsCode Agent: AI-native Automated Bug Fixing
by: Liu, Yizhou, et al.
Published: (2024)

Integrating Symbolic Execution into the Fine-Tuning of Code-Generating LLMs
by: Sakharova, Marina, et al.
Published: (2025)

AutoCodeRover: Autonomous Program Improvement
by: Zhang, Yuntong, et al.
Published: (2024)

Uncertainty Quantification for LLM-based Code Generation
by: Xu, Senrong, et al.
Published: (2026)

Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification
by: Zhou, Mingyang, et al.
Published: (2025)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
by: Zhao, Yicong, et al.
Published: (2025)

Towards LLM-generated explanations for Component-based Knowledge Graph Question Answering Systems
by: Schiese, Dennis, et al.
Published: (2025)

Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation
by: Du, Yali, et al.
Published: (2025)

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)

DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells
by: Cherief, Houcine Abdelkader, et al.
Published: (2026)

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code
by: Huang, Jiangping, et al.
Published: (2026)

Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
by: Yusuf, Imam Nur Bani, et al.
Published: (2024)

XSearch: Explainable Code Search via Concept-to-Code Alignment
by: Liu, Yiming, et al.
Published: (2026)

CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation
by: Du, Kounianhua, et al.
Published: (2024)

Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing
by: Wu, Yulun, et al.
Published: (2025)

Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
by: Honarvar, Shahin, et al.
Published: (2023)

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
by: Liu, Ye, et al.
Published: (2024)