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Found 3 papers, 1 papers with code
Leveraging Similar Users for Personalized Language Modeling with Limited Data
Personalized language models are designed and trained to capture language patterns specific to individual users.
SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation
Spiking neural networks (SNNs) offer a promising avenue to implement deep neural networks in a more energy-efficient way.
Watermarking Pre-trained Language Models with Backdooring
Large pre-trained language models (PLMs) have proven to be a crucial component of modern natural language processing systems.
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