where 𝑦 𝑚+𝑡 ′ 𝑘 and 𝑦 𝑚+𝑡 * 𝑘 are the model output for the k-th token at the considered time step (𝑚 -𝑡 ′ and𝑚 + 𝑡 * , respectively). At any given t-th temporal interval, the pre-trained model interprets the sequence x = {𝑥 𝑚 , 𝑥 𝑚+1 , ,, 𝑥 𝑡 in a bidirectional manner forward from 𝑥 𝑚 to 𝑥 𝑡 and backward from 𝑥 𝑡 to 𝑥 𝑚 . The construction of the sequence commences with the initial token "G" and advances in both orientations until the concluding token "E" is produced.