A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How
API suggestion is a critical task in modern software development, assisting programmers by
predicting and recommending third-party APIs based on the current context. Recent …
predicting and recommending third-party APIs based on the current context. Recent …
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
Due to the presence of the natural gap between Knowledge Graph (KG) structures and the
natural language, the effective integration of holistic structural information of KGs with Large …
natural language, the effective integration of holistic structural information of KGs with Large …
Deep API Sequence Generation via Golden Solution Samples and API Seeds
Automatic API recommendation can accelerate developers' programming, and has been
studied for years. There are two orthogonal lines of approaches for this task, ie, information …
studied for years. There are two orthogonal lines of approaches for this task, ie, information …
Exploring ChatGPT's Potential in Java API Method Recommendation: An Empirical Study
Y Wang, W Xue, Q Huang, B Jiang… - Journal of Software …, 2025 - Wiley Online Library
As software development grows increasingly complex, application programming interface
(API) plays a significant role in enhancing development efficiency and code quality …
(API) plays a significant role in enhancing development efficiency and code quality …
DSKIPP: A Prompt Method to Enhance the Reliability in LLMs for Java API Recommendation Task
J Yang, W Wu, J Ren - Software Testing, Verification and …, 2025 - Wiley Online Library
In the realm of software development, selecting the appropriate Java application
programming interfaces (APIs) from a vast pool remains a significant challenge for …
programming interfaces (APIs) from a vast pool remains a significant challenge for …
Guided Debugging of Auto-Translated Code Using Differential Testing
S Wu, X Sun, X Wang, Y Zhou - arxiv preprint arxiv:2501.09475, 2025 - arxiv.org
Large Language Models (LLMs) hold great promise in the task of code translation. However,
the lack of explainability complicates the identification of the inevitable translation errors. In …
the lack of explainability complicates the identification of the inevitable translation errors. In …
Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph
S Turhan, MB Bacaksız - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Irritable Bowel Syndrome (IBS) is a prevalent gastrointestinal disorder, particularly prevalent
among the Turkish population. Those afflicted with this disease must adhere to a low …
among the Turkish population. Those afflicted with this disease must adhere to a low …
[PDF][PDF] LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation
There are a multitude of software artifacts which need to be handled during the development
and maintenance of a software system. These artifacts interrelate in multiple, complex ways …
and maintenance of a software system. These artifacts interrelate in multiple, complex ways …
[PDF][PDF] ПРИМЕНЕНИЕ ТЕХНОЛОГИИ RETRIEVAL-AUGMENTED GENERATION (RAG) В СИСТЕМАХ ПОДДЕРЖКИ ОБРАЗОВАТЕЛЬНЫХ УЧРЕЖДЕНИЙ
ВВ Зупарова - Ответственный редактор, 2024 - naukaip.ru
Статья исследует применение технологии Retrieval-Augmented Generation (RAG) в
системах поддержки образовательных учреждений. На примере разработки …
системах поддержки образовательных учреждений. На примере разработки …
[PDF][PDF] ПРИМЕНЕНИЕ ГИБРИДНОГО ПОДХОДА НА ОСНОВЕ RAG И LLM ДЛЯ ПОВЫШЕНИЯ ТОЧНОСТИ ОТВЕТОВ В ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМАХ …
ВВ Зупарова - СИНТЕЗ НАУКИ И ОБРАЗОВАНИЯ КАК …, 2024 - ami.im
Аннотация Статья исследует применение гибридного подхода, сочетающего
технологию Retrieval-Augmented Generation (RAG) и большие языковые модели (LLM) …
технологию Retrieval-Augmented Generation (RAG) и большие языковые модели (LLM) …