Author

Serguei Barannikov

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#artificial intelligence Conference Feb 2025

Quantifying Logical Consistency in Transformers via Query-Key Alignment

This paper proposes a novel, lightweight evaluation strategy for logical reasoning that uses query-key alignments inside transformer attention heads that reveals latent representations that reliably separate valid from invalid inferences, offering a scalable alternative to traditional ablation-based techniques.

Eduard Tulchinskii, Anastasia Voznyuk, Laida Kushnareva et al. · Conference on Empirical Meth... · 0 citations

Preprint Aug 2026

Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth

This work gives a sufficient condition for depth-safety: once an operator's per-step displacement is small relative to the decoder margin, the decoded answer cannot change under further iterations, and gives four operational criteria for useful test-time depth.

Ivan Viakhirev, Kirill Borodin, Amirah Almutairi et al. · 6 citations