Learning Robust Pair Confidence for Multimodal Emotion-Cause Pair Extraction

In three linesRPCL, a training-only framework for multimodal emotion-cause pair extraction, improves pair-confidence robustness. Using margin constraints and contextual corruption, it increases Pair F1 by 2.58–2.83 points on ECF/MECAD/MEC4 without changing inference.

Summary generated by Claude — human-verified