arXiv AI By Zhenyu Yu

Vernier: Probing Representational Misalignment Behind Lexical Gaps in Causal Reasoning

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arXiv:2606. 15733v1 Announce Type: cross Abstract: Instruction-tuned language models can answer the same causal-reasoning question differently after its English variable names are replaced by type-preserving placeholders, although the structural causal model and the gold answer are unchanged.

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