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cs.LG2024
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data
Zhiqiang Tang, Zihan Zhong, Tong He +1
This paper studies the best practices for automatic machine learning (AutoML). While previous AutoML efforts have predominantly focused on unimodal data, the multimodal aspect rema…
cs.CL2024
PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models
Gerald Friedland, Xin Huang, Yueying Cui +3
We propose PPLqa, an easy to compute, language independent, information-theoretic metric to measure the quality of responses of generative Large Language Models (LLMs) in an unsupe…