The datasets contain numerous grammatical and orthographic errors, poor pronunciation, limited vocabulary, and the content lacks cultural relevance to the language community.

The vital part of every learning-based algorithm is an optimization procedure, e.g., Stochastic Gradient Descent.

Recently, attention-based networks, such as the Vision Transformer, have also become popular.

WeconsiderZ Rc andmak generated (the In Section 3.3, distribution .

While much of MIP research focuses on designing effective heuristics, the question of how to manage multiple MIP heuristics in a solver has not received equal attention.