2025
MuCAL: Contrastive Alignment for Preference-Driven KG-to-Text Generation
EMNLP 2025
We propose MuCAL (Multilingual Contrastive Alignment Learning) to tackle the challenge of Knowledge Graphs (KG)-to-Text generation using preference learning, where reliable preference data is scarce. MuCAL is a multilingual KG/Text alignment model achieving robust cross-modal retrieval across multip