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Found 2 papers, 2 papers with code
ML-Bench: Evaluating Large Language Models for Code Generation in Repository-Level Machine Learning Tasks
While Large Language Models (LLMs) have demonstrated proficiency in code generation benchmarks, translating these results into practical development scenarios - where leveraging existing repository-level libraries is the norm - remains challenging.
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models
To address these challenges, we introduce a system that can jointly optimize distributed execution and gradient checkpointing plans.
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