Citation-Grounded Code Comprehension: Preventing LLM Hallucination Through Hybrid Retrieval and Graph-Augmented Context
Fuente:
arXiv
Guardado en:
| Autor principal: | Arafat, Jahidul |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
How Deep Does Your Dependency Tree Go? An Empirical Study of Dependency Amplification Across 10 Package Ecosystems
por: Arafat, Jahidul
Publicado: (2025)
por: Arafat, Jahidul
Publicado: (2025)
Context-Augmented Code Generation Using Programming Knowledge Graphs
por: Seddik, Shahd, et al.
Publicado: (2026)
por: Seddik, Shahd, et al.
Publicado: (2026)
RESCUE: Retrieval Augmented Secure Code Generation
por: Shi, Jiahao, et al.
Publicado: (2025)
por: Shi, Jiahao, et al.
Publicado: (2025)
Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation
por: Hilel, Mohammed, et al.
Publicado: (2025)
por: Hilel, Mohammed, et al.
Publicado: (2025)
Dynamic Retrieval-Augmented Generation
por: Shapkin, Anton, et al.
Publicado: (2023)
por: Shapkin, Anton, et al.
Publicado: (2023)
On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
por: Kovrigin, Alexander, et al.
Publicado: (2024)
por: Kovrigin, Alexander, et al.
Publicado: (2024)
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations
por: Hartman, Jan, et al.
Publicado: (2024)
por: Hartman, Jan, et al.
Publicado: (2024)
Semantic Voting: Execution-Grounded Consensus for LLM Code Generation
por: Jiang, Shan, et al.
Publicado: (2026)
por: Jiang, Shan, et al.
Publicado: (2026)
Context Composing for Full Line Code Completion
por: Semenkin, Anton, et al.
Publicado: (2024)
por: Semenkin, Anton, et al.
Publicado: (2024)
Code Roulette: How Prompt Variability Affects LLM Code Generation
por: Paleyes, Andrei, et al.
Publicado: (2025)
por: Paleyes, Andrei, et al.
Publicado: (2025)
Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
por: Rahman, Imranur, et al.
Publicado: (2025)
por: Rahman, Imranur, et al.
Publicado: (2025)
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
por: Ahmed, Toufique, et al.
Publicado: (2023)
por: Ahmed, Toufique, et al.
Publicado: (2023)
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
por: Mathai, Alex, et al.
Publicado: (2024)
por: Mathai, Alex, et al.
Publicado: (2024)
LLM Performance for Code Generation on Noisy Tasks
por: Sendyka, Radzim, et al.
Publicado: (2025)
por: Sendyka, Radzim, et al.
Publicado: (2025)
Grounded AI for Code Review: Resource-Efficient Large-Model Serving in Enterprise Pipelines
por: Mandal, Sayan, et al.
Publicado: (2025)
por: Mandal, Sayan, et al.
Publicado: (2025)
iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
por: Le, Dat, et al.
Publicado: (2026)
por: Le, Dat, et al.
Publicado: (2026)
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
por: Tsai, Yun-Da, et al.
Publicado: (2024)
por: Tsai, Yun-Da, et al.
Publicado: (2024)
Language Models are Better Bug Detector Through Code-Pair Classification
por: Alrashedy, Kamel, et al.
Publicado: (2023)
por: Alrashedy, Kamel, et al.
Publicado: (2023)
Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
por: Roberts, Lucas, et al.
Publicado: (2025)
por: Roberts, Lucas, et al.
Publicado: (2025)
De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding
por: Eghbali, Aryaz, et al.
Publicado: (2024)
por: Eghbali, Aryaz, et al.
Publicado: (2024)
LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM
por: Zhang, Yuxin, et al.
Publicado: (2025)
por: Zhang, Yuxin, et al.
Publicado: (2025)
Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History
por: Lu, Ruofan, et al.
Publicado: (2025)
por: Lu, Ruofan, et al.
Publicado: (2025)
CONCORD: Towards a DSL for Configurable Graph Code Representation
por: Saad, Mootez, et al.
Publicado: (2024)
por: Saad, Mootez, et al.
Publicado: (2024)
PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection
por: Idrissi, Mohamed Taoufik Kaouthar El, et al.
Publicado: (2026)
por: Idrissi, Mohamed Taoufik Kaouthar El, et al.
Publicado: (2026)
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
por: Huynh, Nam, et al.
Publicado: (2025)
por: Huynh, Nam, et al.
Publicado: (2025)
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-Tuning
por: Galliamov, Karim, et al.
Publicado: (2024)
por: Galliamov, Karim, et al.
Publicado: (2024)
deepSURF: Detecting Memory Safety Vulnerabilities in Rust Through Fuzzing LLM-Augmented Harnesses
por: Androutsopoulos, Georgios, et al.
Publicado: (2025)
por: Androutsopoulos, Georgios, et al.
Publicado: (2025)
We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
por: Spracklen, Joseph, et al.
Publicado: (2024)
por: Spracklen, Joseph, et al.
Publicado: (2024)
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
por: Diggs, Colin, et al.
Publicado: (2024)
por: Diggs, Colin, et al.
Publicado: (2024)
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
por: Tao, Hongyuan, et al.
Publicado: (2025)
por: Tao, Hongyuan, et al.
Publicado: (2025)
Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision
por: Mukherjee, Manisha, et al.
Publicado: (2026)
por: Mukherjee, Manisha, et al.
Publicado: (2026)
GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
por: Li, Jia, et al.
Publicado: (2025)
por: Li, Jia, et al.
Publicado: (2025)
Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
por: Saimbhi, Amanpreet Singh
Publicado: (2025)
por: Saimbhi, Amanpreet Singh
Publicado: (2025)
RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts
por: Abdollahi, Armin, et al.
Publicado: (2025)
por: Abdollahi, Armin, et al.
Publicado: (2025)
Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization
por: Wang, Changsheng, et al.
Publicado: (2025)
por: Wang, Changsheng, et al.
Publicado: (2025)
A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
por: Joel, Sathvik, et al.
Publicado: (2024)
por: Joel, Sathvik, et al.
Publicado: (2024)
LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics
por: Patel, Disha
Publicado: (2026)
por: Patel, Disha
Publicado: (2026)
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
por: Ryan, Gabriel, et al.
Publicado: (2024)
por: Ryan, Gabriel, et al.
Publicado: (2024)
Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects
por: Zhang, Wuyang, et al.
Publicado: (2024)
por: Zhang, Wuyang, et al.
Publicado: (2024)
Challenge on Optimization of Context Collection for Code Completion
por: Ustalov, Dmitry, et al.
Publicado: (2025)
por: Ustalov, Dmitry, et al.
Publicado: (2025)
Ejemplares similares
-
How Deep Does Your Dependency Tree Go? An Empirical Study of Dependency Amplification Across 10 Package Ecosystems
por: Arafat, Jahidul
Publicado: (2025) -
Context-Augmented Code Generation Using Programming Knowledge Graphs
por: Seddik, Shahd, et al.
Publicado: (2026) -
RESCUE: Retrieval Augmented Secure Code Generation
por: Shi, Jiahao, et al.
Publicado: (2025) -
Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation
por: Hilel, Mohammed, et al.
Publicado: (2025) -
Dynamic Retrieval-Augmented Generation
por: Shapkin, Anton, et al.
Publicado: (2023)