:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	McMillan, Damon
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering Computation and Language
Accès en ligne:	https://arxiv.org/abs/2605.10039
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Structured Context Engineering for File-Native Agentic Systems: Evaluating Schema Accuracy, Format Effectiveness, and Multi-File Navigation at Scale
par: McMillan, Damon
Publié: (2026)

MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms
par: Wang, Yibo, et autres
Publié: (2025)

Agent READMEs: An Empirical Study of Context Files for Agentic Coding
par: Chatlatanagulchai, Worawalan, et autres
Publié: (2025)

APIDA-Chat: Structured Synthesis of API Search Dialogues to Bootstrap Conversational Agents
par: Eberhart, Zachary, et autres
Publié: (2025)

The Stability Trap: Evaluating the Reliability of LLM-Based Instruction Adherence Auditing
par: Shergadwala, Murtuza N.
Publié: (2026)

Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification
par: Tang, Ningzhi, et autres
Publié: (2025)

Attention Mechanism and Heuristic Approach: Context-Aware File Ranking Using Multi-Head Self-Attention
par: Sharma, Pradeep Kumar, et autres
Publié: (2026)

Do Code LLMs Do Static Analysis?
par: Su, Chia-Yi, et autres
Publié: (2025)

CMind: An AI Agent for Localizing C Memory Bugs
par: Su, Chia-Yi, et autres
Publié: (2026)

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
par: Ahmad, Wasi Uddin, et autres
Publié: (2025)

Distilled GPT for Source Code Summarization
par: Su, Chia-Yi, et autres
Publié: (2023)

Encrypted Container File: Design and Implementation of a Hybrid-Encrypted Multi-Recipient File Structure
par: Bauer, Tobias J., et autres
Publié: (2024)

An Empirical Study of Dotfiles Repositories Containing User-Specific Configuration Files
par: Zhu, Wenhan, et autres
Publié: (2025)

Semantic Similarity Loss for Neural Source Code Summarization
par: Su, Chia-Yi, et autres
Publié: (2023)

AI-Mediated Code Comment Improvement
par: Dhakal, Maria, et autres
Publié: (2025)

ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents
par: Jeon, YoungHoon, et autres
Publié: (2026)

ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files
par: Sharma, Reshabh K
Publié: (2026)

InstructCoder: Instruction Tuning Large Language Models for Code Editing
par: Li, Kaixin, et autres
Publié: (2023)

AgentPack: A Dataset of Code Changes, Co-Authored by Agents and Humans
par: Zi, Yangtian, et autres
Publié: (2025)

Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
par: Treude, Christoph, et autres
Publié: (2026)

From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?
par: Ahmad, Wasi Uddin, et autres
Publié: (2025)

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence
par: Yang, Jian, et autres
Publié: (2025)

Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
par: Gloaguen, Thibaud, et autres
Publié: (2026)

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation
par: Fu, Lingyue, et autres
Publié: (2025)

Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
par: Zhao, Songwen, et autres
Publié: (2025)

NALA_MAINZ at BLP-2025 Task 2: A Multi-agent Approach for Bangla Instruction to Python Code Generation
par: Saadi, Hossain Shaikh, et autres
Publié: (2025)

From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning
par: Zhang, Jiajun, et autres
Publié: (2026)

CodeScout: Contextual Problem Statement Enhancement for Software Agents
par: Suri, Manan, et autres
Publié: (2026)

SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
par: Wang, Yuhang, et autres
Publié: (2026)

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
par: Tang, Ningzhi, et autres
Publié: (2024)

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
par: Wang, Zimu, et autres
Publié: (2026)

Towards Exception Safety Code Generation with Intermediate Representation Agents Framework
par: Zhang, Xuanming, et autres
Publié: (2024)

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study
par: Chand, Sivajeet, et autres
Publié: (2026)

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
par: Kuang, Jiayi, et autres
Publié: (2025)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
par: Zhuo, Terry Yue, et autres
Publié: (2024)

ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code Generation
par: Liu, Kaiyuan, et autres
Publié: (2025)

Measuring LLM Code Generation Stability via Structural Entropy
par: Song, Yewei, et autres
Publié: (2025)

Agent-Diff: Benchmarking LLM Agents on Enterprise API Tasks via Code Execution with State-Diff-Based Evaluation
par: Pysklo, Hubert M., et autres
Publié: (2026)

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
par: Lin, Jiahang, et autres
Publié: (2026)

Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework
par: Zhang, Xuanming, et autres
Publié: (2024)