Dr Bach Le
Senior Lecturer
School of Computing and Information Systems
68 Scholarly works
3 Projects
HIGHLIGHTS
2026
Conference Proceedings
Can LLMs Identify Missing Elements in Requirements Elicitation? An Empirical Evaluation Using Production-Derived User Stories in an Industry Setting
DOI: 10.4230/LIPIcs.ESEM.2026.822026
Conference Proceedings
Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation
DOI: 10.1145/3744916.37732402026
Conference Proceedings
Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent Refinement
DOI: 10.1145/3744916.37732272026
Journal article
DoorDet: semi-automated multi-class door detection dataset via object detection and large language models
DOI: 10.1007/s00521-026-12450-z2026
Journal article
Just-in-time bug classifier: A step towards integrating Automated Program Repair in CI/CD pipelines
DOI: 10.1016/j.infsof.2026.1080762023
Research contracts (non-grants)
Improving Trustworthiness of Program Repair Systems This Project Aims to Improve the Trustworthiness of Program Repair Systems by Conducting the Following Studies: (1) Study 1 - Evaluating Robustness of Program Repair Systems Against Natural Code Tran
2022
Research grants (other domestic)
Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses
RECENT SCHOLARLY WORKS
2026
Journal article
Large Language Models for Computer-Aided Design: A Survey
DOI: 10.1145/37874992026
Journal article
Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond
DOI: 10.1145/37971442026
Journal article
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
DOI: 10.1145/37335992026
Journal article
Advanced Techniques for Management of Severe Defects in the Esthetic Zone.
DOI: 10.1016/j.cxom.2025.09.0022026
Conference Proceedings
CodeWiki: Evaluating AI’s Ability to Generate Holistic Documentation for Large-Scale Codebases
DOI: 10.18653/v1/2026.findings-acl.288
RECENT PROJECTS
2022
Research grants (other domestic)
Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses