新闻
IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- IDEAgent is a multi-agent framework that generates research ideas by balancing quality and diversity simultaneously, outperforming baselines 3.89x on a new evaluation metric.
- 为何重要
- Researchers and engineers building AI systems for scientific discovery or automated ideation need better methods to avoid trivial or redundant concept generation.
- 注意
- The paper is under review and not yet peer-published. Real-world applicability across domains beyond Computer Science remains undemonstrated.
收听本摘要
文章节选
-->
Computer Science > Artificial Intelligence
arXiv:2607.22375v1 (cs)
[Submitted on 24 Jul 2026]
Title: IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation
Authors: Varun Gumma , Navonil Majumder , Soumitra Sinhahajari , Soujanya Poria
View a PDF of the paper titled IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation, by Varun Gumma and 3 other authors
View PDF HTML (experimental)
Abstract: Large Language Models (LLMs) have significantly automated the process of scientific discovery over the past few years. However, existing systems share one core limitation: they generate and optimize ideas independently for either Quality or Diversity. This often leads to the generation of ideas in close proximity to one another or to a large set of trivial, unsound, or unclear concepts. In this work, we instead argue that research ideation should be treated as a conjunction of both objectives and framed as a Quality-Diversity (QD) search. In line with this perspective, we introduce IDEAgent, a multi-agent framework that manages the evolution of ideas through lineages. We jointly drive Quality using multi-objective feedback for dedicated repair and refinement, while Diversity is achieved through lightweight sequential memory and explicit comparison against completed ideas, their historical ancestors, and rejected proposals. To systematically ev
节选自原文。请前往来源阅读全文。
- agent
- agentic
- llm
- language model
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。