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MATLAB Coder Interface for Deep Learning

MATLAB Coder Interface for Deep Learning

MATLAB Coder Support Package for PyTorch and LiteRT Models

MATLAB Coder Support Package for PyTorch and LiteRT Models

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation | Proceedings of the ACM on Software Engineering

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation | Proceedings of the ACM on Software Engineering

Type-Constrained Code Generation with Language Models | Proceedings of the ACM on Programming Languages

Type-Constrained Code Generation with Language Models | Proceedings of the ACM on Programming Languages

Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond | Proceedings of the ACM on Software Engineering

Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond | Proceedings of the ACM on Software Engineering

Getting started with the ACG SDK - imperix

Getting started with the ACG SDK - imperix

COFFE: A Code Efficiency Benchmark for Code Generation | Proceedings of the ACM on Software Engineering

COFFE: A Code Efficiency Benchmark for Code Generation | Proceedings of the ACM on Software Engineering

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

May-happen-in-parallel analysis with static vector clocks | Proceedings of the 2018 International Symposium on Code Generation and Optimization

Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models | Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1

Multi-level Machine Learning-Guided Autotuning for Efficient Code Generation on a Deep Learning Accelerator | Proceedings of the 26th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study | Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

GPU Coder Interface for Deep Learning

Polyhedral parallel code generation for CUDA | ACM Transactions on Architecture and Code Optimization

Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs: Communications of the ACM: Vol 55, No 6

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models | Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

Polyhedral parallel code generation for CUDA | ACM Transactions on Architecture and Code Optimization

ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification | Proceedings of the ACM on Software Engineering

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