We use the hamming diversity metric for decoding at each time step, which penalizes the selection of words that have already been chosen in other beams (Algorithm 1).
the weight λ associated with this metric is tuned to aggressively promote diversity between the first tokens of each of the K generated sequences, thereby avoiding similar beams like I don't know and I really don't know.