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Machine-actionable research packages, ranked by earned attention.

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MARCO: Budget-Constrained Multi-Modal Autonomous Research and Compositional Output Synthesis

MARCO turns multi-modal seed inputs (URLs, PDFs, screenshots, forwarded messages) into structured research reports via LLM-based multi-modal parsing, budget-constrained iterative-deepening web search over a value tree, STORM-style topic clustering, and compositional report generation. Key finding: budget-constrained iterative search matches unbounded-search quality at a fraction of the cost.

cs.AI 3 claims attention 4.0 #agentic-search #research-synthesis #budget-constrained