:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Beau, Nathanaël, Crabbé, Benoît
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Software Engineering
Online Access:	https://arxiv.org/abs/2409.16819
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
by: Beau, Nathanaël, et al.
Published: (2025)

Code2Doc: A Quality-First Curated Dataset for Code Documentation
by: Karaman, Recep Kaan, et al.
Published: (2025)

Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation
by: Zhong, Li, et al.
Published: (2023)

Seed-Coder: Let the Code Model Curate Data for Itself
by: Seed, ByteDance, et al.
Published: (2025)

EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code
by: Ridoy, Shahriyar Zaman, et al.
Published: (2024)

Studying and Recommending Information Highlighting in Stack Overflow Answers
by: Ahmed, Shahla Shaan, et al.
Published: (2024)

Evaluating Privacy Questions From Stack Overflow: Can ChatGPT Compete?
by: Delile, Zack, et al.
Published: (2023)

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
by: Ahmad, Wasi Uddin, et al.
Published: (2025)

ArkTS-CodeSearch: A Open-Source ArkTS Dataset for Code Retrieval
by: He, Yulong, et al.
Published: (2026)

StackEval: Benchmarking LLMs in Coding Assistance
by: Shah, Nidhish, et al.
Published: (2024)

The Influence of Code Comments on the Perceived Helpfulness of Stack Overflow Posts
by: Figl, Kathrin, et al.
Published: (2025)

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence
by: Yang, Jian, et al.
Published: (2025)

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets
by: Mai, Yubo, et al.
Published: (2025)

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
by: Xia, Yunhui, et al.
Published: (2025)

An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges
by: Foalem, Patrick Loic, et al.
Published: (2026)

Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
by: Sedykh, Ivan, et al.
Published: (2023)

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow
by: Chen, Jiachi, et al.
Published: (2024)

AgentPack: A Dataset of Code Changes, Co-Authored by Agents and Humans
by: Zi, Yangtian, et al.
Published: (2025)

SOSecure: Safer Code Generation with RAG and StackOverflow Discussions
by: Mukherjee, Manisha, et al.
Published: (2025)

An Empirical Study of Java Code Improvements Based on Stack Overflow Answer Edits
by: Wiratsin, In-on, et al.
Published: (2025)

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
by: Sapkota, Ranjan, et al.
Published: (2025)

Evaluation of Code LLMs on Geospatial Code Generation
by: Gramacki, Piotr, et al.
Published: (2024)

Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
by: Wang, Junqiao, et al.
Published: (2024)

Mercury: A Code Efficiency Benchmark for Code Large Language Models
by: Du, Mingzhe, et al.
Published: (2024)

VersiCode: Towards Version-controllable Code Generation
by: Wu, Tongtong, et al.
Published: (2024)

Evaluating and Achieving Controllable Code Completion in Code LLM
by: Zhang, Jiajun, et al.
Published: (2026)

Code Fingerprints: Disentangled Attribution of LLM-Generated Code
by: Guo, Jiaxun, et al.
Published: (2026)

CodeRAG-Bench: Can Retrieval Augment Code Generation?
by: Wang, Zora Zhiruo, et al.
Published: (2024)

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
by: Shi, Yuling, et al.
Published: (2026)

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation
by: Wang, Sizhe, et al.
Published: (2025)

Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets
by: Mondal, Saikat, et al.
Published: (2024)

LongCodeZip: Compress Long Context for Code Language Models
by: Shi, Yuling, et al.
Published: (2025)

Bridging Code Graphs and Large Language Models for Better Code Understanding
by: Chen, Zeqi, et al.
Published: (2025)

CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences
by: Weyssow, Martin, et al.
Published: (2024)

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
by: Wang, Jiexin, et al.
Published: (2024)

CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
by: Tian, Yuchen, et al.
Published: (2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
by: Li, Jia, et al.
Published: (2024)

CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks
by: Xie, Yiqing, et al.
Published: (2024)

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
by: Lin, Hong Yi, et al.
Published: (2025)

CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
by: Tikhonov, Anton, et al.
Published: (2023)