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IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation

Research LLM Agents

Ranking

Overall 80
Content 85
Popularity 69

Observed public metrics from 1 member.

Merged summary

TL;DR - IDEAgent frames research idea generation as a quality-diversity search, using multiple agents to refine ideas while avoiding overlap. Across 32 computer-science topics, it achieved 3.89× the best baseline’s Yield.

  • Tracks idea lineages and applies multi-objective feedback for targeted repair and refinement.
  • Promotes diversity by comparing proposals with completed, ancestral, and rejected ideas.
  • Introduces Yield, measuring the largest mutually diverse idea set above a quality threshold.
  • Achieved non-zero Yield on eight times more topics than the best baseline.

Sources (1)

IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation

arXiv cs.AI Varun Gumma, Navonil Majumder, Soumitra Sinhahajari, Soujanya Poria 2026-07-24 arXiv:2607.22375
Public signals Hugging Face upvotes 9
Providers: Hugging Face · Upvotes 9 OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-08-26 14:45:06.350368 UTC

TL;DR - IDEAgent frames research idea generation as a quality-diversity search, using multiple agents to refine ideas while avoiding overlap. Across 32 computer-science topics, it achieved 3.89× the best baseline’s Yield.

  • Tracks idea lineages and applies multi-objective feedback for targeted repair and refinement.
  • Promotes diversity by comparing proposals with completed, ancestral, and rejected ideas.
  • Introduces Yield, measuring the largest mutually diverse idea set above a quality threshold.
  • Achieved non-zero Yield on eight times more topics than the best baseline.
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