Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
What this work does
Reviews single- and multi-agent scientific workflows, implementations, datasets and task-dependent evaluation metrics.
Connection to discovery
Provides entry points into domain-specific systems and reliability questions across the research lifecycle.
Evidence
Inspected the application taxonomy, experimental-assistance examples and discussion of paper-quality versus task-success metrics.
Scope and limitations
Its broad agency definition includes literature and workflow assistance; those activities alone do not demonstrate new scientific knowledge. The PDF claims ICLR 2025; the precise conference/workshop track requires separate verification.
THE RESEARCH CONVERSATION
Discussion & reactions
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