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Papers

Showing 5175 of 91 papers

TitleStatusHype
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation0
Beyond the C: Retargetable Decompilation using Neural Machine Translation0
Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package0
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code0
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset0
Compilation as a Typed EDSL-to-EDSL Transformation0
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers0
Designing Neural Networks for Real-Time Systems0
Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives0
Enhanced Automated Code Vulnerability Repair using Large Language Models0
Fast and Efficient Bayesian Analysis of Structural Vector Autoregressions Using the R Package bsvars0
Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation0
Safurai-Csharp: Harnessing Synthetic Data to improve language-specific Code LLM0
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?0
SimInf: An R package for Data-driven Stochastic Disease Spread Simulations0
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation0
Smart structural health monitoring (SHM) system for on-board localization of defects in pipes using torsional ultrasonic guided waves0
Structural Language Models for Any-Code Generation0
Towards Neural Decompilation0
Towards Practical First-Order Model Counting0
Transforming Software Development: Evaluating the Efficiency and Challenges of GitHub Copilot in Real-World Projects0
Utilizing Static Analysis and Code Generation to Accelerate Neural Networks0
Vulnerability Detection in C/C++ Code with Deep Learning0
Pattern Matching in AI Compilers and its Formalization (Extended Version)0
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures0
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