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query-key-alignment

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papersSEP 10 04:00 UTC

Study Quantifies Logical Consistency in Transformers via Query-Key Alignment

A new arXiv paper proposes a technique for measuring how logically consistent transformer language models are during multi-step reasoning, using analysis of query-key alignment in attention mechanisms. The authors position this as a way to assess reasoning reliability beyond improvements from prompting methods such as Chain-of-Thought. The work appears on arXiv under cs.AI (2502.17017).