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Found 3 papers, 2 papers with code
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws
Extensive experiments reveal that semantic diversity is a reliable indicator of dataset diversity, and ScalingFilter achieves an optimal balance between downstream performance and semantic diversity.
RoBus: A Multimodal Dataset for Controllable Road Networks and Building Layouts Generation
Additionally, we design new baselines that incorporate urban characteristics, such as road orientation and building density, in the process of generating road networks and building layouts using the RoBus dataset, enhancing the practicality of automated urban design.
FP8-LM: Training FP8 Large Language Models
In this paper, we explore FP8 low-bit data formats for efficient training of large language models (LLMs).
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