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Found 3 papers, 2 papers with code
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities
Through the experiments conducted with three prominent LLMs, we have confirmed that the METAL framework effectively evaluates essential QAs on primary LLM tasks and reveals the quality risks in LLMs.
Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions
The ocean is filled with microscopic microalgae called phytoplankton, which together are responsible for as much photosynthesis as all plants on land combined.
Exact Post-Selection Inference for Changepoint Detection and Other Generalized Lasso Problems
Leveraging a sequential characterization of this path from Tibshirani & Taylor (2011), and recent advances in post-selection inference from Lee et al. (2016), Tibshirani et al. (2016), we develop exact hypothesis tests and confidence intervals for linear contrasts of the underlying mean vector, conditioned on any model selection event along the generalized lasso path (assuming Gaussian errors in the observations).
Methodology
