Minisymposium (ID: SS-MFRA)

Mathematical Foundations, Reasoning, and Applications of Large Language Models

Sukhjit Singh Sehra (Wilfrid Laurier University) and, Sunny Wang (Wilfrid Laurier University)

Large language models are nowadays increasingly influencing scientific computing, mathematical reasoning, and data-driven discovery. Despite their empirical success, many open questions remain regarding their mathematical foundations, robustness, interpretability, and reliability in scientific settings. This mini symposium will bring together researchers working at the intersection of applied mathematics, machine learning, language models, and computational science. It includes topics such as, but is not limited to, mathematical analysis of transformer architectures, optimization and generalization, theorem proving, scientific code generation, equation discovery, LLM-guided simulation workflows, and trustworthy deployment of LLMs in mathematical and engineering applications. This symposium aims to foster interdisciplinary dialogue between mathematicians, computational scientists, and AI researchers.

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