MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
To address this limitation, we propose MindFlow, a framework that explicitly formulates ideation as a graph-structured Flow in Mind, which is composed of modular thinking operators and modeled by a probabilistic mind supernet.
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Key points
- Research idea innovation is a fundamental engine of scientific progress, yet it remains difficult to generate and evaluate in a scalable and controllable way.
- Given a research topic, a controller dynamically samples thinking flows to generate candidate ideas.
- We further introduce an evaluation protocol that jointly assesses problem finding and problem solving, going beyond title- or abstractonly judgments.
- Across diverse topics, MindFlow shows its superiority as an explicit, controllable and optimizable research idea innovator.
Sources (1)
- [1]MindFlow: Mind Supernet Powered Thinking Flows for Research Idea InnovationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 01:45 PM
To address this limitation, we propose MindFlow, a framework that explicitly formulates ideation as a graph-structured Flow in Mind, which is composed of modular thinking operators and modeled by a probabilistic mind supernet.
Research idea innovation is a fundamental engine of scientific progress, yet it remains difficult to generate and evaluate in a scalable and controllable way.
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