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Data for mathematical copilots: Better ways of presenting proofs for machine learning
The suite of datasets commonly used to train and evaluate the mathematical capabilities of
AI-based mathematical copilots (primarily large language models) exhibit several …
AI-based mathematical copilots (primarily large language models) exhibit several …
Artificial Intelligence in Elementary Math Education: Analyzing Impact on Students Achievements
The study investigates the impact of integrating Artificial Intelligence (AI) in teaching
mathematics to seventh-grade students, typically aged 12–13, focusing on the chapter about …
mathematics to seventh-grade students, typically aged 12–13, focusing on the chapter about …
[PDF][PDF] Improving the accuracy of black-box language models with ontologies: a preliminary roadmap
Abstract Large Language Models (LLMs) have revolutionised natural language generation.
But their statistical and auto-regressive nature makes them unreliable. It has become clear to …
But their statistical and auto-regressive nature makes them unreliable. It has become clear to …
A Triumvirate of AI Driven Theoretical Discovery
YH He - arxiv preprint arxiv:2405.19973, 2024 - arxiv.org
Recent years have seen the dramatic rise of the usage of AI algorithms in pure mathematics
and fundamental sciences such as theoretical physics. This is perhaps counter-intuitive …
and fundamental sciences such as theoretical physics. This is perhaps counter-intuitive …
Entity matching with large language models in the mobility domain
S Virkkula - 2024 - oulurepo.oulu.fi
The challenge of data integration is not new, but has been ballooned due the increase in the
use of data in different applications. Such applications often require information from …
use of data in different applications. Such applications often require information from …