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Shangwen Wang — most-cited papers & profile · AI for Code
← authors
·
overview
Shangwen Wang
23
papers ·
69
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
CCT5: A Code-Change-Oriented Pre-Trained Model
2023 · 53 citations
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
2023 · 9 citations
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
2022 · 3 citations
Large Language Models-Aided Program Debloating
2025 · 2 citations
Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
2025 · 2 citations
AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
2026
Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation
2026
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
2025
Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
2025
Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation
2025
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning
2025
Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques
2018
Enhancing Code Intelligence Tasks with ChatGPT
2023
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
2024
Model Editing for LLMs4Code: How Far are We?
2024
Top co-authors
Bo Lin
· 10
Xinjun Mao
· 5
Kang Yang
· 4
Yao Lu
· 4
Zhang Zhang
· 3
Haotian Wang
· 2
Li Li
· 2
Xiaoning Du
· 2
Xin Peng
· 2
Yanlin Wang
· 2
Yue Yu
· 2
Zhensu Sun
· 2
Topics
Software Engineering
Code Models
Code Generation
Program Repair
Bug Detection
Code Translation
Code Understanding
Testing