Conference

Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis
Humans convey emotions through verbal and non-verbal signals when communicating face-to-face. Pre-trained language model such as BERT …
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Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity
Large-scale pre-trained models’ demand for high-quality instances forces people to consider how to select instances for …
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TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning
Recently, prompt tuning has shown remarkable performance as a new learning paradigm, which freezes pre-trained language models (PLMs) …
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PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning