EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models

EconCausal introduces a large-scale benchmark testing whether large language models can correctly infer and revise causal effect directions when the socio-economic context changes. Built from 10,490 triplets from economic studies, it shows that current LLMs struggle with context-dependent reasoning, often failing when signs flip or when given misleading evidence.

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