98 citations · 287 across the 45 of their papers we have counts for
6 papers · 1 filter
XMainframe: A Large Language Model for Mainframe Modernization
Anh T. V. Dau, Hieu Trung Dao, Anh Tuan Nguyen +3
Mainframe operating systems, despite their inception in the 1940s, continue to support critical sectors like finance and government. However, these systems are often viewed as outd…
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…
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare +3
Large language models (LLMs) pretrained on vast source code have achieved prominent progress in code intelligence. However, existing code LLMs have two main limitations in terms of…
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…
Class based Influence Functions for Error Detection
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran +4
Influence functions (IFs) are a powerful tool for detecting anomalous examples in large scale datasets. However, they are unstable when applied to deep networks. In this paper, we…
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…