AI RESEARCH
Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition
arXiv CS.CL
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ArXi:2604.23413v1 Announce Type: new Cloud-hosted Large Language Models (LLMs) offer unmatched reasoning capabilities and dynamic knowledge, yet submitting raw queries to these external services risks exposing sensitive user intent. Conversely, relying exclusively on trusted local models preserves privacy but often compromises answer quality due to limited parameter scale and knowledge. To resolve this dilemma, we propose Game-theoretic Trustworthy Knowledge Acquisition (GTKA), a framework that formulates the trade-off between knowledge utility and privacy as a strategic game.