AINeutralarXiv – CS AI · 14h ago7/10
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METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
Researchers introduce METER, a benchmark that evaluates Large Language Models' ability to perform contextual causal reasoning across three hierarchical levels within unified settings. The study identifies critical failure modes in LLMs: susceptibility to causally irrelevant information and degraded context faithfulness at higher causal levels.