ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes
- Published
- Source
- arXiv
- Paper number
- 566
- Field
- AI / General
- arXiv ID
- 2607.04439
Key points
- It extracts 15 ideation patterns, 31 subpatterns, and 28 research domains from 1,947 machine learning conference papers across oral, highlighted, and rejected papers.
- The pattern cards are designed as operational tools, not simple classifications, with a structure that contrasts success conditions and failure modes.
- IdeaSpark is a multi-step reasoning pipeline of gap finding, pattern matching, candidate generation, conflict search, and audit decision making.
- Rejected papers were also mapped into the same 15-pattern space, showing that they can be used as contrastive evidence.
- Automatic evaluation shows improved idea quality, although human blinded evaluation remains a future task.
Paper links
External research summaries. These are not HDATF publications or measured product results.