CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection.
Proc. ACM Softw. Eng., 2024
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.
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CoRR, 2024
MetaRM: Shifted Distributions Alignment via Meta-Learning.
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CoRR, 2024
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
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CoRR, 2024
Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection.
Proceedings of the IEEE International Conference on Software Analysis, 2024
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.
CoRR, 2023
SMT Solver Validation Empowered by Large Pre-Trained Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Two-Stage Joint BEM-OTFS Channel Estimation Algorithm Based Sparse Bayesian Learning Algorithm.
Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023