Intermediate-layer features of small LLMs plus a penalized logistic regression classifier achieve high F1 scores on content safety and prompt injection classification with very few labeled examples, per the paper's experiments.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Lightweight Safety Classification Using Pruned Language Models
Intermediate-layer features of small LLMs plus a penalized logistic regression classifier achieve high F1 scores on content safety and prompt injection classification with very few labeled examples, per the paper's experiments.