arXiv:2504.12365
Themisto: Jupyter-Based Runtime Benchmark
원문 초록
In this work, we present a benchmark that consists of Jupyter notebooks development trajectories and allows measuring how large language models (LLMs) can leverage runtime information for predicting code output and code generation. We demonstrate that the current generation of LLMs performs poorly on these tasks and argue that there exists a significantly understudied domain in the development of code-based models, which involves incorporating the runtime context.
함께 살펴볼 논문
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Kodezi Chronos: A Debugging-First Language Model for Repository-Scale, Memory-Driven Code Understanding
Rethinking Verification for LLM Code Generation: From Generation to Testing
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark
Estimating Correctness Without Oracles in LLM-Based Code Generation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.