Intuitively, for each query, the matching model should give the highest score to the golden response over other M − 1 responses (i.e., always rank the golden response at the first place).
we define the training loss as where S k: is k-th row of S. Label smoothing (Szegedy et al., 2016) of value ls = 0.1 is used to improve the performance.