Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...

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IEEE

Knowledge Graph Reasoning and Completion Strategies under Few-Shot Learning

Abstract: Knowledge graph (KG) reasoning and completion under few-shot learning conditions faces significant difficulties because of the limited number of labelled triplets for rare or new relations.
IEEE

Multi-Layer Defense Strategies and Privacy Preserving Enhancements for Membership Reasoning Attacks in a Federated Learning Framework

Abstract: In order to enhance the privacy protection ability of federated learning under membership inference attack, a mult-ilayer defense model integrating feature perturbation, gradient compression ...