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Pruning Adatperfusion with Lottery Ticket Hypothesis
Pre-trained language models have shown great success in multiple downstream tasks.
Tastle: Distract Large Language Models for Automatic Jailbreak Attack
In this work, we propose Tastle, a novel black-box jailbreak framework for automated red teaming of LLMs.
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification
Graph-based Aspect-based Sentiment Classification (ABSC) approaches have yielded state-of-the-art results, expecially when equipped with contextual word embedding from pre-training language models (PLMs).
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