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cs.AI2026
Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation
Guangyuan Dong, Ziwei Hong, Xuehao Zhou +6
Medical question answering spans specialties and clinical operations that may benefit from different adaptation directions. We propose ARBOR, a parameter-efficient method that sele…
cs.AI2025
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
Bingchen Liu, Jingchen Li, Yuanyuan Fang +1
Zero-shot learning (ZL) is crucial for tasks involving unseen categories, such as natural language processing, image classification, and cross-lingual transfer.Current applications…
cs.AI2024
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning
Naixing Xu, Qian Li, Xu Wang +2
Knowledge graph (KG) embedding methods map entities and relations into continuous vector spaces, improving performance in tasks like link prediction and question answering. With ri…