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  1. Home
  2. College of Technology and Built Environment
  3. School of Information Technology and Engineering
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School of Information Technology and Engineering

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http://etd.aau.edu.et/handle/123456789/460

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  • access blocking  1
  • Accessibility Abuse  1
  • Accessibility Services  1
  • Addis Ababa University  1
  • Advanced Dynamic Quantization and Optimization  1
  • Alert Fusion  1
  • Amharic  1
  • Amharic Text Analysis  1
  • and Adapters—through a rigorous methodology involving specialized assertion pretraining using the Atlas dataset (1.2M Java method-assertion pairs)  1
  • and comprehensive validation on the unseen Defects4J benchmark to assess cross-project generalization. Experimental results demonstrate that LoRA maintains 92% full fine-tuning effectiveness (38.12% correct test cases) while reducing GPU memory requirements by 17% and improving generation speed by 23%. QLoRA achieves even greater efficiency with 36% memory reduction  1
  • Android  1
  • Android malware  1
  • APK  1
  • Artifact  1
  • assessing cross-project generalization  1
  • Attack detection  1
  • Attention Mechanism  2
  • Audio-Visual Fusion  2
  • AVAD dataset  1
  • BART  1
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