Supplementary Materials of Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification

The specifics of our experimental settings are subsequently outlined in Section 1.2. Additional Ablation Study. Figure 1 presents the embedding spaces corresponding to various Feature demarcations across different ranks are ambiguous, displaying considerable overlap. This underscores the criticality of their synergistic implementation. We also explore the role of different batchsize settings. We report the result in Table 1.