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2 results for “multi-agent LLM”
Operational Reframing and Approval-Framed Delegation in Multi-Agent LLM Safety
A new arXiv preprint identifies three distinct mechanisms—operational reframing, planner refusal/transformation, and approval-framed delegation—that collectively distort safety evaluations of multi-agent LLM systems, arguing that current 'pipeline effect' metrics conflate them and misattribute risk to architecture rather than specific interaction dynamics.
Jul 10, 2026
Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation
Agri-SAGE is a new research framework that combines multi-agent LLM reasoning with biophysical crop simulation (APSIM) to generate and validate context-aware, seasonally adaptive agricultural advisories — addressing gaps in both static guidelines and ungrounded LLM recommendations.
Published Jul 2, 2026 · Analyzed Jul 5, 2026