Revolutionizing API Documentation through Summarization
Fuente:
arXiv
Saved in:
| Main Authors: | Naghshzan, AmirHossein, Ratte, Sylvie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automating API Documentation with LLMs: A BERTopic Approach
by: Naghshzan, AmirHossein
Published: (2025)
by: Naghshzan, AmirHossein
Published: (2025)
Compositional API Recommendation for Library-Oriented Code Generation
by: Ma, Zexiong, et al.
Published: (2024)
by: Ma, Zexiong, et al.
Published: (2024)
Evaluating LLMs on Sequential API Call Through Automated Test Generation
by: Huang, Yuheng, et al.
Published: (2025)
by: Huang, Yuheng, et al.
Published: (2025)
ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
by: Ni, Xinyi, et al.
Published: (2025)
by: Ni, Xinyi, et al.
Published: (2025)
Analyzing the Performance of Large Language Models on Code Summarization
by: Haldar, Rajarshi, et al.
Published: (2024)
by: Haldar, Rajarshi, et al.
Published: (2024)
SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking
by: Wang, Yuanchun, et al.
Published: (2024)
by: Wang, Yuanchun, et al.
Published: (2024)
Progressive Code Integration for Abstractive Bug Report Summarization
by: Karim, Shaira Sadia, et al.
Published: (2025)
by: Karim, Shaira Sadia, et al.
Published: (2025)
Evaluating Retrieval-Augmented Generation Variants for Natural Language-Based SQL and API Call Generation
by: Marketsmüller, Michael, et al.
Published: (2026)
by: Marketsmüller, Michael, et al.
Published: (2026)
Applying Large Language Models API to Issue Classification Problem
by: Aracena, Gabriel, et al.
Published: (2024)
by: Aracena, Gabriel, et al.
Published: (2024)
DocCGen: Document-based Controlled Code Generation
by: Pimparkhede, Sameer, et al.
Published: (2024)
by: Pimparkhede, Sameer, et al.
Published: (2024)
Testing the Effect of Code Documentation on Large Language Model Code Understanding
by: Macke, William, et al.
Published: (2024)
by: Macke, William, et al.
Published: (2024)
Toward Reusability of AI Models Using Dynamic Updates of AI Documentation
by: Bajcsy, Peter, et al.
Published: (2026)
by: Bajcsy, Peter, et al.
Published: (2026)
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
by: Zhang, Yinger, et al.
Published: (2023)
by: Zhang, Yinger, et al.
Published: (2023)
Code2Doc: A Quality-First Curated Dataset for Code Documentation
by: Karaman, Recep Kaan, et al.
Published: (2025)
by: Karaman, Recep Kaan, et al.
Published: (2025)
OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models
by: Lazar, Koren, et al.
Published: (2025)
by: Lazar, Koren, et al.
Published: (2025)
HGAdapter: Hypergraph-based Adapters in Language Models for Code Summarization and Clone Detection
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
CursorCore: Assist Programming through Aligning Anything
by: Jiang, Hao, et al.
Published: (2024)
by: Jiang, Hao, et al.
Published: (2024)
An evaluation of LLM code generation capabilities through graded exercises
by: Jiménez, Álvaro Barbero
Published: (2024)
by: Jiménez, Álvaro Barbero
Published: (2024)
REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment
by: Mudgal, Priyanka
Published: (2025)
by: Mudgal, Priyanka
Published: (2025)
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
by: Lu, Qinghua, et al.
Published: (2023)
by: Lu, Qinghua, et al.
Published: (2023)
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability
by: Ofsa, Max, et al.
Published: (2025)
by: Ofsa, Max, et al.
Published: (2025)
CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback
by: Sun, Qiushi, et al.
Published: (2025)
by: Sun, Qiushi, et al.
Published: (2025)
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
by: Islam, Md. Ashraful, et al.
Published: (2025)
by: Islam, Md. Ashraful, et al.
Published: (2025)
SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning
by: Liu, Fang, et al.
Published: (2025)
by: Liu, Fang, et al.
Published: (2025)
Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
by: Zhang, Tianyi, et al.
Published: (2025)
by: Zhang, Tianyi, et al.
Published: (2025)
ReCode: Updating Code API Knowledge with Reinforcement Learning
by: Wu, Haoze, et al.
Published: (2025)
by: Wu, Haoze, et al.
Published: (2025)
APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
by: Zhong, Hua, et al.
Published: (2025)
by: Zhong, Hua, et al.
Published: (2025)
Web Agents Should Adopt the Plan-Then-Execute Paradigm
by: Piet, Julien, et al.
Published: (2026)
by: Piet, Julien, et al.
Published: (2026)
Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
by: Yang, Ye, et al.
Published: (2025)
by: Yang, Ye, et al.
Published: (2025)
Large Language Models for Code Summarization
by: Szalontai, Balázs, et al.
Published: (2024)
by: Szalontai, Balázs, et al.
Published: (2024)
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
by: Kammakomati, Mehant, et al.
Published: (2024)
by: Kammakomati, Mehant, et al.
Published: (2024)
Exploring Data-Efficient Adaptation of Large Language Models for Code Generation
by: Jiang, Xue, et al.
Published: (2024)
by: Jiang, Xue, et al.
Published: (2024)
A Survey on Large Language Models for Code Generation
by: Jiang, Juyong, et al.
Published: (2024)
by: Jiang, Juyong, et al.
Published: (2024)
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
by: Shi, Yuling, et al.
Published: (2024)
by: Shi, Yuling, et al.
Published: (2024)
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
by: Zhong, Li, et al.
Published: (2024)
by: Zhong, Li, et al.
Published: (2024)
CodeNav: Beyond tool-use to using real-world codebases with LLM agents
by: Gupta, Tanmay, et al.
Published: (2024)
by: Gupta, Tanmay, et al.
Published: (2024)
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java
by: Zan, Daoguang, et al.
Published: (2024)
by: Zan, Daoguang, et al.
Published: (2024)
Rethinking Code Refinement: Learning to Judge Code Efficiency
by: Seo, Minju, et al.
Published: (2024)
by: Seo, Minju, et al.
Published: (2024)
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
by: Su, Zian, et al.
Published: (2024)
by: Su, Zian, et al.
Published: (2024)
A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning
by: Li, Xinzhe
Published: (2024)
by: Li, Xinzhe
Published: (2024)
Similar Items
-
Automating API Documentation with LLMs: A BERTopic Approach
by: Naghshzan, AmirHossein
Published: (2025) -
Compositional API Recommendation for Library-Oriented Code Generation
by: Ma, Zexiong, et al.
Published: (2024) -
Evaluating LLMs on Sequential API Call Through Automated Test Generation
by: Huang, Yuheng, et al.
Published: (2025) -
ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
by: Ni, Xinyi, et al.
Published: (2025) -
Analyzing the Performance of Large Language Models on Code Summarization
by: Haldar, Rajarshi, et al.
Published: (2024)