Evaluating Relational Reasoning in LLMs with REL

Researchers have introduced REL, a benchmark framework that evaluates large language models' ability to perform relational reasoning across different domains like algebra, chemistry, and biology. This new evaluation method isolates the difficulty caused by higher-arity relational binding, revealing consistent performance degradation in current models as the complexity of relational tasks increases, indicating a limitation in handling complex relational bindings.

Read the full article at arXiv cs.AI (Artificial Intelligence)

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