APIGen: Generative API Method Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Yujia, Gao, Cuiyun, Zhu, Muyijie, Liao, Qing, Wang, Yong, Xu, Guoai |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware
por: Chen, Yujia, et al.
Publicado: (2025)
por: Chen, Yujia, et al.
Publicado: (2025)
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
por: Chen, Yujia, et al.
Publicado: (2024)
por: Chen, Yujia, et al.
Publicado: (2024)
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How
por: Wang, Chaozheng, et al.
Publicado: (2024)
por: Wang, Chaozheng, et al.
Publicado: (2024)
Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
por: Wu, Fan, et al.
Publicado: (2026)
por: Wu, Fan, et al.
Publicado: (2026)
ReposVul: A Repository-Level High-Quality Vulnerability Dataset
por: Wang, Xinchen, et al.
Publicado: (2024)
por: Wang, Xinchen, et al.
Publicado: (2024)
LLM-Based Test Case Generation in DBMS through Monte Carlo Tree Search
por: Chen, Yujia, et al.
Publicado: (2026)
por: Chen, Yujia, et al.
Publicado: (2026)
A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
por: Gao, Cuiyun, et al.
Publicado: (2025)
por: Gao, Cuiyun, et al.
Publicado: (2025)
Smaller but Better: Self-Paced Knowledge Distillation for Lightweight yet Effective LCMs
por: Chen, Yujia, et al.
Publicado: (2024)
por: Chen, Yujia, et al.
Publicado: (2024)
Automated Prompt Generation for Code Intelligence: An Empirical study and Experience in WeChat
por: Ji, Kexing, et al.
Publicado: (2025)
por: Ji, Kexing, et al.
Publicado: (2025)
Deep Learning Based Code Generation Methods: Literature Review
por: Yang, Zezhou, et al.
Publicado: (2023)
por: Yang, Zezhou, et al.
Publicado: (2023)
A Dual-Loop Agent Framework for Automated Vulnerability Reproduction
por: Liu, Bin, et al.
Publicado: (2026)
por: Liu, Bin, et al.
Publicado: (2026)
AXIOM: Benchmarking LLM-as-a-Judge for Code via Rule-Based Perturbation and Multisource Quality Calibration
por: Wang, Ruiqi, et al.
Publicado: (2025)
por: Wang, Ruiqi, et al.
Publicado: (2025)
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
por: Liu, Zuxin, et al.
Publicado: (2024)
por: Liu, Zuxin, et al.
Publicado: (2024)
An Empirical Study of Knowledge Distillation for Code Understanding Tasks
por: Wang, Ruiqi, et al.
Publicado: (2025)
por: Wang, Ruiqi, et al.
Publicado: (2025)
When Model Editing Meets Service Evolution: A Knowledge-Update Perspective for Service Recommendation
por: Fan, Guodong, et al.
Publicado: (2026)
por: Fan, Guodong, et al.
Publicado: (2026)
Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
por: Chen, Yujia, et al.
Publicado: (2026)
por: Chen, Yujia, et al.
Publicado: (2026)
Q-ARE: An Evaluation Dataset for Query Based API Recommendation
por: Wu, Shenglong, et al.
Publicado: (2026)
por: Wu, Shenglong, et al.
Publicado: (2026)
SEER: Enhancing Chain-of-Thought Code Generation through Self-Exploring Deep Reasoning
por: Gao, Shuzheng, et al.
Publicado: (2025)
por: Gao, Shuzheng, et al.
Publicado: (2025)
SR-Eval: Evaluating LLMs on Code Generation under Stepwise Requirement Refinement
por: Zhan, Zexun, et al.
Publicado: (2025)
por: Zhan, Zexun, et al.
Publicado: (2025)
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
por: Liu, Bin, et al.
Publicado: (2025)
por: Liu, Bin, et al.
Publicado: (2025)
EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
por: Wen, Xin-Cheng, et al.
Publicado: (2024)
Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps
por: Dong, Zikan, et al.
Publicado: (2024)
por: Dong, Zikan, et al.
Publicado: (2024)
AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation
por: Liu, Huanxi, et al.
Publicado: (2024)
por: Liu, Huanxi, et al.
Publicado: (2024)
Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations
por: Lin, Guancheng, et al.
Publicado: (2025)
por: Lin, Guancheng, et al.
Publicado: (2025)
A Survey on Query-based API Recommendation
por: Wei, Moshi, et al.
Publicado: (2023)
por: Wei, Moshi, et al.
Publicado: (2023)
MLLM-Based UI2Code Automation Guided by UI Layout Information
por: Wu, Fan, et al.
Publicado: (2025)
por: Wu, Fan, et al.
Publicado: (2025)
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
por: Nie, Yuqing, et al.
Publicado: (2024)
por: Nie, Yuqing, et al.
Publicado: (2024)
APITestGenie: Generating Web API Tests from Requirements and API Specifications with LLMs
por: Pereira, André, et al.
Publicado: (2026)
por: Pereira, André, et al.
Publicado: (2026)
OpenAI for OpenAPI: Automated generation of REST API specification via LLMs
por: Chen, Hao, et al.
Publicado: (2026)
por: Chen, Hao, et al.
Publicado: (2026)
A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat
por: Yang, Zezhou, et al.
Publicado: (2025)
por: Yang, Zezhou, et al.
Publicado: (2025)
Microservices Are Dying, A New Method for Module Division Based on Universal Interfaces
por: Wang, Qing, et al.
Publicado: (2025)
por: Wang, Qing, et al.
Publicado: (2025)
Tail-aware N-version Machine Learning Models for Reliable API Recommendation
por: Matsuda, Aoi, et al.
Publicado: (2026)
por: Matsuda, Aoi, et al.
Publicado: (2026)
MASFuzzer: Fuzz Driver Generation and Adaptive Scheduling via Multidimensional API Sequences
por: Liu, Xingyu, et al.
Publicado: (2026)
por: Liu, Xingyu, et al.
Publicado: (2026)
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
por: Feng, Jia, et al.
Publicado: (2024)
por: Feng, Jia, et al.
Publicado: (2024)
Generating API Parameter Security Rules with LLM for API Misuse Detection
por: Liu, Jinghua, et al.
Publicado: (2024)
por: Liu, Jinghua, et al.
Publicado: (2024)
LRASGen: LLM-based RESTful API Specification Generation
por: Deng, Sida, et al.
Publicado: (2025)
por: Deng, Sida, et al.
Publicado: (2025)
Compositional API Recommendation for Library-Oriented Code Generation
por: Ma, Zexiong, et al.
Publicado: (2024)
por: Ma, Zexiong, et al.
Publicado: (2024)
Ejemplares similares
-
Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware
por: Chen, Yujia, et al.
Publicado: (2025) -
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code
por: Chen, Yujia, et al.
Publicado: (2024) -
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How
por: Wang, Chaozheng, et al.
Publicado: (2024) -
Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
por: Wu, Fan, et al.
Publicado: (2026) -
ReposVul: A Repository-Level High-Quality Vulnerability Dataset
por: Wang, Xinchen, et al.
Publicado: (2024)