Cover Image

Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahman, Imranur, Rahman, Md Rayhanur
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
by: Kovrigin, Alexander, et al.
Published: (2024)

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification
by: Erfan, Md, et al.
Published: (2026)

REPOFUSE: Repository-Level Code Completion with Fused Dual Context
by: Liang, Ming, et al.
Published: (2024)

Challenge on Optimization of Context Collection for Code Completion
by: Ustalov, Dmitry, et al.
Published: (2025)

Beyond Synthetic Benchmarks: Evaluating LLM Performance on Real-World Class-Level Code Generation
by: Rahman, Musfiqur, et al.
Published: (2025)

AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion
by: Jiang, Tianyue, et al.
Published: (2026)

CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024)

On the Impacts of Contexts on Repository-Level Code Generation
by: Hai, Nam Le, et al.
Published: (2024)

Automated Benchmark Generation for Repository-Level Coding Tasks
by: Vergopoulos, Konstantinos, et al.
Published: (2025)

SnipGen: A Mining Repository Framework for Evaluating LLMs for Code
by: Rodriguez-Cardenas, Daniel, et al.
Published: (2025)

CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
by: Thillen, Alex, et al.
Published: (2026)

MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks
by: Kadosh, Tal, et al.
Published: (2023)

Automatic Detection of LLM-Generated Code: A Comparative Case Study of Contemporary Models Across Function and Class Granularities
by: Rahman, Musfiqur, et al.
Published: (2024)

In Line with Context: Repository-Level Code Generation via Context Inlining
by: Hu, Chao, et al.
Published: (2026)

RTLRepoCoder: Repository-Level RTL Code Completion through the Combination of Fine-Tuning and Retrieval Augmentation
by: Wu, Peiyang, et al.
Published: (2025)

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
by: Li, Yuangang, et al.
Published: (2026)

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
by: Di, Peng, et al.
Published: (2023)

ContextModule: Improving Code Completion via Repository-level Contextual Information
by: Guan, Zhanming, et al.
Published: (2024)

Data Wrangling Task Automation Using Code-Generating Language Models
by: Akella, Ashlesha, et al.
Published: (2025)

ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation
by: Hong, Jiseung, et al.
Published: (2026)

Analyzing Latent Concepts in Code Language Models
by: Sharma, Arushi, et al.
Published: (2025)

Long Code Arena: a Set of Benchmarks for Long-Context Code Models
by: Bogomolov, Egor, et al.
Published: (2024)

Code Hallucination
by: Rahman, Mirza Masfiqur, et al.
Published: (2024)

Redundancy and Concept Analysis for Code-trained Language Models
by: Sharma, Arushi, et al.
Published: (2023)

RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
by: Phan, Huy N., et al.
Published: (2024)

Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
by: Gloaguen, Thibaud, et al.
Published: (2026)

AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context
by: Zhang, Lei, et al.
Published: (2026)

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
by: Ren, Qibing, et al.
Published: (2024)

Assumptions to Evidence: Evaluating Security Practices Adoption and Their Impact on Outcomes in the npm Ecosystem
by: Zahan, Nusrat, et al.
Published: (2025)

Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding
by: Pavlichenko, Nikita, et al.
Published: (2025)

Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models
by: Haroon, Sabaat, et al.
Published: (2025)

miniCodeProps: a Minimal Benchmark for Proving Code Properties
by: Lohn, Evan, et al.
Published: (2024)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)

Repo2Run: Automated Building Executable Environment for Code Repository at Scale
by: Hu, Ruida, et al.
Published: (2025)

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
by: Tao, Hongyuan, et al.
Published: (2025)

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
by: Zheng, Qinkai, et al.
Published: (2023)

Large Language Models for Code Summarization
by: Szalontai, Balázs, et al.
Published: (2024)

From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)

CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation
by: Wang, Xinchen, et al.
Published: (2025)

Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
by: Liu, Aofan, et al.
Published: (2025)