New arXiv paper Multilingual GSM-Symbolic introduces a 15-language, 30,000-item math dataset to study how AI capabilities transfer across languages, aiming to identify predictors beyond exhaustive pairwise evaluation.

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https://arxiv.org/abs/2610.03367

Contextual lexical methods outperform raw LLM prompting for Hindi pregroup assignment (64.56% accuracy), while symbolic lexical repair improves LLM outputs. This advances scalable grammatical type annotation for multilingual quantum NLP pipelines.

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