DSAI extracts interpretable latent features from text through five LLM stages and ranks them by a prominence score that measures how well each rule separates positive from negative examples.
Keep it simple but not overly simple (high importance) and 4
1 Pith paper cite this work. Polarity classification is still indexing.
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DSAI: Unbiased and Interpretable Latent Feature Extraction for Data-Centric AI
DSAI extracts interpretable latent features from text through five LLM stages and ranks them by a prominence score that measures how well each rule separates positive from negative examples.