A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How

C Wang, S Gao, C Gao, W Wang, CY Chong… - Proceedings of the 39th …, 2024 - dl.acm.org
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 …

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models

Q Lin, T Zhao, K He, Z Peng, F Xu, L Huang… - arxiv preprint arxiv …, 2025 - arxiv.org
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 …

Deep API Sequence Generation via Golden Solution Samples and API Seeds

Y Huang, J Wang, S Wang, M Wei, L Shi, Z Liu… - ACM Transactions on …, 2024 - dl.acm.org
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 …

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 …

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 …

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 …

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 …

[PDF][PDF] LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation

D Fuchß, T Hey, J Keim, H Liu, N Ewald, T Thirolf… - fuchss.org
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 …

[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 …

[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) …