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Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation

arXiv:2610.38100v1 Announce Type: new Abstract: Large language models (LLMs) appear to represent and reason about a large range of phenomena. In particular, recent studies have examined whether LLMs can accurately reason about causation. One of the most commonly used benchmarks for evaluating forma…

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  1. 2026-10-30 04:00 · arXiv cs.AI
    Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation

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