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News/EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery
arxiv
PublishedJune 12, 2026 at 4:00 AM
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EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery

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arXiv:2606.13662v1 Announce Type: new Abstract: LLM-based agents have shown increasing potential in automating scientific discovery. Given an optimizable metric and an execution environment, they can propose, validate, and iterate scientific solutions, and have produced results that outperform human

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation1harxivCounterfactual Model Testing Under Distribution Shift1harxivCentralized Critics for N-Agent Ad Hoc Teamwork1harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning1h
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