AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The TREC Million LLM Track operationalizes a retrieval-based paradigm in which an assistant agent infers expertise dynamically by examining models'observable behavior, providing the first large-scale benchmark for expertise retrieval in agentic AI.
This work investigates the impact of cross-lingual prompt injection attacks on LLM-based relevance judgments using TREC Deep Learning collections and two open-weight models under established prompting frameworks, and demonstrates that multilingual query-based injections are highly effective in inflating relevance score...
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