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cs.AI2026
Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation
Justin Clarke, Isha Karn, Patrick Murray +2
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 c…
cs.AI2024
Compositional Models for Estimating Causal Effects
Purva Pruthi, David Jensen
Many real-world systems can be usefully represented as sets of interacting components. Examples include computational systems, such as query processors and compilers, natural syste…