2026
SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models
ICLR 2026poster
Evaluating the reasoning ability of language models (LMs) is complicated by their extensive parametric world knowledge, where benchmark performance often reflects factual recall rather than genuine reasoning. Existing datasets and approaches (e.g., temporal filtering, paraphrasing, adversarial subst…