4 papers
Traffic-MLLM: Curiosity-Regularized Supervised Learning for Traffic Scenario Case-Based Reasoning
Waikit Xiu, Qiang Lu, Bingchen Liu +2
For safe and robust autonomous driving, decision-making systems must effectively leverage past experiences to handle the inherent long-tail of traffic scenarios. Case-Based Reasoni…
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…
Large Language Models for Knowledge Graph Embedding: A Survey
Bingchen Liu, Yuanyuan Fang, Naixing Xu +3
Large language models (LLMs) have garnered significant attention for their superior performance in many knowledge-driven applications on the world wide web.These models are designe…
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…