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Notes on model discovery
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Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
The text introduces the Model Discovery Agent (MDA), a system designed to efficiently discover mechanistic, causal models from minimal interventions using a large language model (LLM) and Bayesian methods. The MDA…
An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery
The researchers propose an experimental design framework to systematically evaluate the autonomous model discovery behavior of large language model coding agents, like Codex and Claude Code. The framework considers…
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