6 papers
Beyond Repository Boundaries: Cross-Repository Graph Retrieval for Code Generation
Minh Le-Anh, Nam Le Hai, Quyen Tran +4
Repository-level code generation requires generated code to be compatible not only with the target repository but also with its dependency environment. Existing retrieval-based met…
XREPOTEST: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models
Dung Le Quang, Dong Cao Van, Nam Le Hai +3
Large language models (LLMs) have shown promise for automated unit test generation, but existing evaluations largely rely on standalone settings and a narrow set of programming lan…
MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents
Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan +4
Large Language Models (LLMs) lack persistent memory for long-term personalized conversations. Existing graph-based memory systems suffer from information dilution, absent provenanc…
Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond
Minh Le-Anh, Huyen Nguyen, Khanh An Tran +4
Large language models for code (CodeLLMs) have demonstrated remarkable success in standalone code completion and generation, sometimes even surpassing human performance, yet their…
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation
Nam Le Hai, Nghi D. Q. Bui
Code comments provide important information for understanding the source code. They can help developers understand the overall purpose of a function or class, as well as identify b…
On the Impacts of Contexts on Repository-Level Code Generation
Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
CodeLLMs have gained widespread adoption for code generation tasks, yet their capacity to handle repository-level code generation with complex contextual dependencies remains under…