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arXiv — cs.AI

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标题为英语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…

arXiv — cs.AI作者: Justin Clarke, Isha Karn, Patrick Murray, KJ Hill, David Jensen2026年10月30日 (14小时前)
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  • 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…
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Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation

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