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SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer., , , , и . CoRR, (2021)Finetuned Language Models are Zero-Shot Learners., , , , , , , , и . ICLR, OpenReview.net, (2022)iobes: A Library for Span-Level Processing.. CoRR, (2020)Intent Features for Rich Natural Language Understanding., , , и . NAACL-HLT (Industry Papers), стр. 214-221. Association for Computational Linguistics, (2021)Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation., , , , , и . EMNLP, стр. 9279-9300. Association for Computational Linguistics, (2022)Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers., , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1841-1848. Association for Computational Linguistics, (2020)Multiple Word Embeddings for Increased Diversity of Representation., , , , и . CoRR, (2020)The Power of Scale for Parameter-Efficient Prompt Tuning., , и . EMNLP (1), стр. 3045-3059. Association for Computational Linguistics, (2021)Scaling Up Models and Data with t5x and seqio., , , , , , , , , и 33 other автор(ы). CoRR, (2022)Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models., , , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 15708-15719. PMLR, (2023)