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News/Why LLMs Fail at Causal Discovery and How Interventional Agents Escape
arxiv
PublishedMay 28, 2026 at 4:00 AM
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Why LLMs Fail at Causal Discovery and How Interventional Agents Escape

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arXiv:2605.27567v1 Announce Type: new Abstract: Causal discovery is a cornerstone of scientific reasoning, yet whether large language models can perform it reliably remains an open question. Recent benchmarks show that even fine-tuned models plateau on simple causal graphs and degrade as complexity

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