5 citations · 17 across the 9 of their papers we have counts for
9 papers
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations
Chia-Heng Yu, Yen-Lung Tsai
Traditional Retrieval-Augmented Generation (RAG) systems employ brute-force inner product search to retrieve the top-k most similar documents, then combined with the user query and…
Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets
Chi-Chien Tsai, Chia-Mu Yu, Ying-Dar Lin +2
The increasing adoption of large language models (LLMs) for code-related tasks has raised concerns about the security of their training datasets. One critical threat is dead code p…
Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning
Shaoyu Yang, Xiang Chen, Ke Liu +2
When drafting question posts for Stack Overflow, developers may not accurately summarize the core problems in the question titles, which can cause these questions to not get timely…
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT
Chi Yu, Guang Yang, Xiang Chen +2
Developers use shell commands for many tasks, such as file system management, network control, and process management. Bash is one of the most commonly used shells and plays an imp…
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow
Ke Liu, Guang Yang, Xiang Chen +1
On Stack Overflow, developers can not only browse question posts to solve their programming problems but also gain expertise from the question posts to help improve their programmi…
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning
Guang Yang, Xiang Chen, Yanlin Zhou +1
A shellcode is a small piece of code and it is executed to exploit a software vulnerability, which allows the target computer to execute arbitrary commands from the attacker throug…
DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa
Guang Yang, Yanlin Zhou, Chi Yu +1
In software engineering-related tasks (such as programming language tag prediction based on code snippets from Stack Overflow), the programming language classification for code sni…
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation
Guang Yang, Xiang Chen, Jinxin Cao +4
Developers often write low-quality code comments due to the lack of programming experience, which can reduce the efficiency of developers program comprehension. Therefore, develope…
Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer
Guang Yang, Yanlin Zhou, Xiang Chen +1
Pseudo-code written by natural language is helpful for novice developers' program comprehension. However, writing such pseudo-code is time-consuming and laborious. Motivated by the…