AI RESEARCH
Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction
arXiv CS.LG
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ArXi:2603.22738v1 Announce Type: new Accurate prediction of mechanical properties of steel during hot rolling processes, such as Thin Slab Direct Rolling (TSDR), remains challenging due to complex interactions among chemical compositions, processing parameters, and resultant microstructures. Traditional empirical and experimental methodologies, while effective, are often resource-intensive and lack adaptability to varied production conditions.