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Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.

, , , , , , , , , and . EMNLP (Demos), page 149-160. Association for Computational Linguistics, (2023)

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Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning., , , , , , , , , and . EMNLP (Demos), page 149-160. Association for Computational Linguistics, (2023)ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense Disambiguation., , , , and . SemEval@ACL, page 1463-1469. Association for Computational Linguistics, (2023)Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data., , , , and . CoRR, (2023)ML Mob at SemEval-2023 Task 5: "Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait"., , , , and . SemEval@ACL, page 1818-1823. Association for Computational Linguistics, (2023)AdapterHub: A Framework for Adapting Transformers., , , , , , , and . EMNLP (Demos), page 46-54. Association for Computational Linguistics, (2020)What to Pre-Train on? Efficient Intermediate Task Selection., , , and . EMNLP (1), page 10585-10605. Association for Computational Linguistics, (2021)UKP-SQUARE: An Online Platform for Question Answering Research., , , , , , , , , and 3 other author(s). ACL (demo), page 9-22. Association for Computational Linguistics, (2022)