Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models-Reference-Cited by-同舟云学术

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Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
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Author:

Malkiel Itzik,Wolf Lior

Publisher

Association for Computational Linguistics

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Topic-Conditional Extractive Summarization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Metricbert: Text Representation Learning Via Self-Supervised Triplet Training;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

4. Interpreting BERT-based Text Similarity via Activation and Saliency Maps;Proceedings of the ACM Web Conference 2022;2022-04-25

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