Evaluating Relational Reasoning in LLMs with REL
Relational reasoning is the ability to infer relations that jointly bind multiple entities, attributes, or variables. This ability is central to scientific reasoning, but existing evaluations of relational reasoning in large language models often focus on structured inputs such as tables, graphs, or synthetic tasks, and do not isolate the difficulty introduced by higher-arity relational binding. We study this problem through the lens of Relational Complexity (RC), which we define as the minimum number of independent entities or operands that must be simultaneously bound to apply a relation. RC provides a principled way to vary reasoning difficulty while controlling for confounders such as...
| Authors | Lukas Fesser, Yasha Ektefaie, Ada Fang et al. |
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| Primary category | cs.AI |
| Published | 14 April 2026 |
| Last updated at source | 1 June 2026 |
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