Saved in:
| Main Authors: | Borghoff, Uwe M., Minas, Mark, Schopp, Jannis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.05242 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SWE Context Bench: A Benchmark for Context Learning in Coding
by: Zhu, Jiayuan, et al.
Published: (2026)
by: Zhu, Jiayuan, et al.
Published: (2026)
In-Context Code-Text Learning for Bimodal Software Engineering
by: Tang, Xunzhu, et al.
Published: (2024)
by: Tang, Xunzhu, et al.
Published: (2024)
Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
by: Gloaguen, Thibaud, et al.
Published: (2026)
by: Gloaguen, Thibaud, et al.
Published: (2026)
In Line with Context: Repository-Level Code Generation via Context Inlining
by: Hu, Chao, et al.
Published: (2026)
by: Hu, Chao, et al.
Published: (2026)
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024)
by: Pan, Zhiyuan, et al.
Published: (2024)
Enhancing Neural Code Representation with Additional Context
by: Nguyen, Huy, et al.
Published: (2025)
by: Nguyen, Huy, et al.
Published: (2025)
On the Impacts of Contexts on Repository-Level Code Generation
by: Hai, Nam Le, et al.
Published: (2024)
by: Hai, Nam Le, et al.
Published: (2024)
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
by: Li, Yichen, et al.
Published: (2024)
by: Li, Yichen, et al.
Published: (2024)
A Study of In-Context-Learning-Based Text-to-SQL Errors
by: Shen, Jiawei, et al.
Published: (2025)
by: Shen, Jiawei, et al.
Published: (2025)
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
by: Vartziotis, Tina, et al.
Published: (2024)
by: Vartziotis, Tina, et al.
Published: (2024)
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach
by: Sepidband, Melika, et al.
Published: (2025)
by: Sepidband, Melika, et al.
Published: (2025)
Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
by: Wan, Yuxuan, et al.
Published: (2024)
by: Wan, Yuxuan, et al.
Published: (2024)
SpareCodeSearch: Searching for Code Context When You Have No Spare GPU
by: Nguyen, Minh
Published: (2025)
by: Nguyen, Minh
Published: (2025)
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)
Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study
by: Töpfer, Michal, et al.
Published: (2026)
by: Töpfer, Michal, et al.
Published: (2026)
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)
by: Zhang, Tanghaoran, et al.
Published: (2026)
Hallucination in LLM-Based Code Generation: An Automotive Case Study
by: Pavel, Marc, et al.
Published: (2025)
by: Pavel, Marc, et al.
Published: (2025)
Impact-driven Context Filtering For Cross-file Code Completion
by: Li, Yanzhou, et al.
Published: (2025)
by: Li, Yanzhou, et al.
Published: (2025)
Automating the Correctness Assessment of AI-generated Code for Security Contexts
by: Cotroneo, Domenico, et al.
Published: (2023)
by: Cotroneo, Domenico, et al.
Published: (2023)
REPOFUSE: Repository-Level Code Completion with Fused Dual Context
by: Liang, Ming, et al.
Published: (2024)
by: Liang, Ming, et al.
Published: (2024)
Verifying LLM-Generated Code in the Context of Software Verification with Ada/SPARK
by: Cramer, Marcos, et al.
Published: (2025)
by: Cramer, Marcos, et al.
Published: (2025)
Benchmarking LLMs for Fine-Grained Code Review with Enriched Context in Practice
by: Hu, Ruida, et al.
Published: (2025)
by: Hu, Ruida, et al.
Published: (2025)
From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)
by: Li, Yanzhou, et al.
Published: (2025)
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
by: Li, Hanyu, et al.
Published: (2026)
by: Li, Hanyu, et al.
Published: (2026)
ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation
by: Hong, Jiseung, et al.
Published: (2026)
by: Hong, Jiseung, et al.
Published: (2026)
ChatGPT vs. DeepSeek: A Comparative Study on AI-Based Code Generation
by: Manik, Md Motaleb Hossen
Published: (2025)
by: Manik, Md Motaleb Hossen
Published: (2025)
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
by: Wan, Yao, et al.
Published: (2024)
by: Wan, Yao, et al.
Published: (2024)
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
by: Tantithamthavorn, Kla, et al.
Published: (2026)
by: Tantithamthavorn, Kla, et al.
Published: (2026)
Multimodal Approach for Harmonized System Code Prediction
by: Amel, Otmane, et al.
Published: (2024)
by: Amel, Otmane, et al.
Published: (2024)
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation
by: Acharya, Manish, et al.
Published: (2025)
by: Acharya, Manish, et al.
Published: (2025)
ContextModule: Improving Code Completion via Repository-level Contextual Information
by: Guan, Zhanming, et al.
Published: (2024)
by: Guan, Zhanming, et al.
Published: (2024)
AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context
by: Zhang, Lei, et al.
Published: (2026)
by: Zhang, Lei, et al.
Published: (2026)
Does Code Cleanliness Affect Coding Agents? A Controlled Minimal-Pair Study
by: Trivedi, Priyansh, et al.
Published: (2026)
by: Trivedi, Priyansh, et al.
Published: (2026)
An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
by: Saju, Md Hasan, et al.
Published: (2026)
by: Saju, Md Hasan, et al.
Published: (2026)
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
by: Dong, Zeming, et al.
Published: (2023)
by: Dong, Zeming, et al.
Published: (2023)
Automatic Building Code Review: A Case Study
by: Wan, Hanlong, et al.
Published: (2025)
by: Wan, Hanlong, et al.
Published: (2025)
A Performance Study of LLM-Generated Code on Leetcode
by: Coignion, Tristan, et al.
Published: (2024)
by: Coignion, Tristan, et al.
Published: (2024)
An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention
by: Ghosh, Madhusudan, et al.
Published: (2026)
by: Ghosh, Madhusudan, et al.
Published: (2026)
Robustness and Reasoning Fidelity of Large Language Models in Long-Context Code Question Answering
by: Maharaj, Kishan, et al.
Published: (2026)
by: Maharaj, Kishan, et al.
Published: (2026)
Similar Items
-
SWE Context Bench: A Benchmark for Context Learning in Coding
by: Zhu, Jiayuan, et al.
Published: (2026) -
In-Context Code-Text Learning for Bimodal Software Engineering
by: Tang, Xunzhu, et al.
Published: (2024) -
Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
by: Gloaguen, Thibaud, et al.
Published: (2026) -
In Line with Context: Repository-Level Code Generation via Context Inlining
by: Hu, Chao, et al.
Published: (2026) -
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024)