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Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.

, , , , , , and . CoRR, (2023)

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Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models., , , , , , and . EMNLP, page 11305-11327. Association for Computational Linguistics, (2023)Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis., , , , , and . IEEE Trans. Knowl. Data Eng., 35 (10): 10098-10111 (October 2023)SemiText: Scene text detection with semi-supervised learning., , , , and . Neurocomputing, (2020)A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis., , , , and . COLING, page 6691-6704. International Committee on Computational Linguistics, (2022)Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT., , , , and . CoRR, (2023)Towards Making the Most of ChatGPT for Machine Translation., , , , , , , and . EMNLP (Findings), page 5622-5633. Association for Computational Linguistics, (2023)Revisiting Token Dropping Strategy in Efficient BERT Pretraining., , , , , , and . ACL (1), page 10391-10405. Association for Computational Linguistics, (2023)Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE., , , , , , , and . CoRR, (2023)PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation., , , , and . CoRR, (2022)Token-Level Self-Evolution Training for Sequence-to-Sequence Learning., , , , , , and . ACL (2), page 841-850. Association for Computational Linguistics, (2023)