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WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
Knowledge editing aims to rectify inaccuracies in large language models (LLMs) without costly retraining for outdated or erroneous knowledge.
Enhancing E-Commerce Recommendation using Pre-Trained Language Model and Fine-Tuning
These results accentuate the importance of utilizing textual information in the context of e-commerce, and provides insight on how to better apply PLMs alongside traditional recommender system algorithms.
An Investigation of Smart Contract for Collaborative Machine Learning Model Training
Machine learning (ML) has penetrated various fields in the era of big data.
Survey on the Convergence of Machine Learning and Blockchain
Machine learning (ML) has been pervasively researched nowadays and it has been applied in many aspects of real life.
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