Author

I. Alimova

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Preprint Aug 2026

MemToC: Benchmarking Memory-Tool Conflict Resolution in Large Language Models

MemToC, a controlled benchmark for post-tool-return arbitration with executable tools, is introduced and an asymmetric success criterion is applied: correct-answer retention must improve without a detected reduction in correct-tool following.

A. Varlamov, R. Zinnatullin, E. Rykov et al. · 1 citation

Preprint Jul 2026

PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages

Mathematical reasoning has become a central task for evaluating and tuning reasoning Large Language Models (LLMs), yet existing benchmarks remain heavily biased toward high-resource languages, with English and Chinese dominating both pre-training corpora and evaluation suites. The recently released PolyMath (Wang et al...

Daryna Dementieva, N. Babakov, Kathy Hammerl et al. · 0 citations