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cs.AI2026
ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents
Ander Alvarez, Santhiya Rajan, Alessandro Genuardi +3
Tool-using LLM agents increasingly use the Model Context Protocol (MCP) to answer from heterogeneous evidence sources, including search, APIs, databases, clinical records, and form…
cs.AI2025★ 1 cited
Scaling Laws for Energy Efficiency of Local LLMs
Ander Alvarez, Alessandro Genuardi, Nilotpal Sinha +6
Deploying local large language models and vision-language models on edge devices requires balancing accuracy with constrained computational and energy budgets. Although graphics pr…