In recommendation systems, new items are continuously introduced, initially lacking
interaction records but gradually accumulating them over time. Accurately predicting the …

The scaling law, which involves the brute-force expansion of training datasets and learnable
parameters, has become a prevalent strategy for developing more robust learning models …

Meta-learning enables learning systems to adapt quickly to new tasks, similar to humans. To
emulate this human-like rapid learning and enhance alignment and discrimination abilities …