Evaluating causal reasoning in LLMs: a case study on the challenges of procedural generation
Read the original at arxiv.org→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...
Original headline: "Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation"
Coverage timeline
- Oct 30, 04:00 UTC arXiv cs.AI lead source Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation