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Found 2 papers, 1 papers with code
Unifying Corroborative and Contributive Attributions in Large Language Models
As businesses, products, and services spring up around large language models, the trustworthiness of these models hinges on the verifiability of their outputs.
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
Collecting more diverse and representative training data is often touted as a remedy for the disparate performance of machine learning predictors across subpopulations.
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