GTKA uses adversarial game training to generate privacy-safe sub-queries for external LLMs, then integrates answers locally, reducing intent leakage while preserving answer quality on new biomedical and legal benchmarks.
Instead, generate multiple new questions derived from broader concepts, underlying princi- ples, mechanisms, and general knowledge in related domains
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Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition
GTKA uses adversarial game training to generate privacy-safe sub-queries for external LLMs, then integrates answers locally, reducing intent leakage while preserving answer quality on new biomedical and legal benchmarks.