The proposed PP-ZSL framework combines anonymization, zero-shot LLM inference, RAG, and validation for privacy-preserving customer support, but lacks any empirical validation to support its claims.
However, these advancements come with challenges, particularly in ensuring data privacy
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
The proposed PP-ZSL framework combines anonymization, zero-shot LLM inference, RAG, and validation for privacy-preserving customer support, but lacks any empirical validation to support its claims.