XLNet is a generalized autoregressive pretraining method that learns bidirectional contexts via permutation-based factorization and outperforms BERT on 20 NLP tasks.
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Proposes and benchmarks a new aggregation technique for LoRA adapters in federated fine-tuning against existing methods on GLUE tasks.
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet is a generalized autoregressive pretraining method that learns bidirectional contexts via permutation-based factorization and outperforms BERT on 20 NLP tasks.
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Aggregating Low Rank Adapters in Federated Fine-tuning
Proposes and benchmarks a new aggregation technique for LoRA adapters in federated fine-tuning against existing methods on GLUE tasks.