AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding

Excerpt

arXiv:2610.05334v1 Announce Type: new Abstract: Frameworks that use large language models for scientific discovery typically rely on a fixed, human-designed algorithm that decides what the model sees at each step, leaving the model only the role of proposer. The model knows nothing of the search beyond what it is shown. As models grow more capable, a question arises: does a search strategy chosen by a human before the run scale better than promoting the model from proposer to planner and letting