2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.SE2023
DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies
Anh T. V. Dau, Jin L. C. Guo, Nghi D. Q. Bui
Comments within source code are essential for developers to comprehend the code's purpose and ensure its correct usage. However, as codebases evolve, maintaining an accurate alignm…
cs.CL2023★ 2 cited
Better Language Models of Code through Self-Improvement
Hung Quoc To, Nghi D. Q. Bui, Jin Guo +1
Pre-trained language models for code (PLMCs) have gained attention in recent research. These models are pre-trained on large-scale datasets using multi-modal objectives. However, f…
cs.CL2023
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau +4
We present The Vault, a dataset of high-quality code-text pairs in multiple programming languages for training large language models to understand and generate code. We present met…