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RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks
A new benchmark called RealisticTritonBench was introduced to test the ability of large language models (LLMs) to generate GPU kernels for real-world AI frameworks. This benchmark addresses limitations in previous…
From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs
The paper proposes a methodology using Petri nets to generate tests for concurrent stateful Rust APIs, aiming to address issues with large language models (LLMs) in generating executable tests that may violate API…
Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
Researchers introduce 'generative compilation', an approach to get feedback from compilers on partially generated code during the code generation process. The method aims to reduce errors and improve the functionality…
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