3 papers
cs.CR2025
gMBA: Expression Semantic Guided Mixed Boolean-Arithmetic Deobfuscation Using Transformer Architectures
Youjeong Noh, Joon-Young Paik, Jingun Kwon +1
Mixed Boolean-Arithmetic (MBA) obfuscation protects intellectual property by converting programs into forms that are more complex to analyze. However, MBA has been increasingly exp…
cs.CL2025
Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
Hidetaka Kamigaito, Ying Zhang, Jingun Kwon +3
Transformers deliver outstanding performance across a wide range of tasks and are now a dominant backbone architecture for large language models (LLMs). Their task-solving performa…
cs.CL2024
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
Juseon-Do, Jingun Kwon, Hidetaka Kamigaito +1
Extractive summarization can produce faithful summaries but often requires additional constraints such as a desired summary length. Traditional sentence compression models do not t…