Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling

In three linesRISE, an inference-time semantic reranking framework, improves predictions on hard examples in Rhetorical Role Labeling by leveraging contrastively learned label representations. Without retraining, it achieves +9.15 macro-F1 gain on 8 domain-specific datasets across 7 language models.

Summary generated by Claude — human-verified