AI RESEARCH
LLMs with in-context learning for Algorithmic Theoretical Physics
arXiv CS.LG
•
ArXi:2605.08212v1 Announce Type: new There is an increasing number of algorithmic computations in theoretical physics. These, while conceptually simple, can nevertheless be time-consuming and contain subtleties that should not be overlooked. Given the recent improvement of Large Language Models (LLM), it is natural to investigate whether LLMs equipped with a computer algebra system (CAS) runtime and sufficiently informative context can reliably carry out these algorithmic tasks.