Does Asking Clarifying Questions Increases Confidence in Generated Code? On the Communication Skills of Large Language Models. - Jie JW Wu (CoRR, 2023)

Can Offline A/B Testing Be Automated for Data-Driven Requirement Engineering? - Jie JW Wu (CoRR, 2023)

An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective. - Jie JW Wu (CAIN, 2024)

Investigating the Efficacy of Large Language Models for Code Clone Detection. - Mohamad Khajezade; Jie JW Wu; Fatemeh Hendijani Fard; Gema Rodríguez-Pérez; Mohamed Sami Shehata (ICPC, 2024)

AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering. - Jie JW Wu (SIGSOFT FSE Companion, 2024)

Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent. - Jie JW Wu; Fatemeh H. Fard (CoRR, 2024)

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair. - Meghdad Dehghan; Jie JW Wu; Fatemeh H. Fard; Ali Ouni 001 (CoRR, 2024)

Survey on Code Generation for Low resource and Domain Specific Programming Languages. - Sathvik Joel; Jie JW Wu; Fatemeh H. Fard (CoRR, 2024)

ClarifyCoder: Clarification-Aware Fine-Tuning for Programmatic Problem Solving. - Jie JW Wu; Manav Chaudhary; Davit Abrahamyan; Arhaan Khaku; Anjiang Wei; Fatemeh H. Fard (CoRR, 2025)