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LongNet: Scaling Transformers to 1,000,000,000 Tokens, , , , , , and . (2023)cite arxiv:2307.02486Comment: Work in progress.Constrained Text Coclustering with Supervised and Unsupervised Constraints., , , , , and . IEEE Trans. Knowl. Data Eng., 25 (6): 1227-1239 (2013)Retrieval-Enhanced Adversarial Training for Neural Response Generation., , , , , and . CoRR, (2018)STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization., , , , and . CoRR, (2020)Generative retrieval for conversational question answering., , , , and . Inf. Process. Manag., 60 (5): 103475 (September 2023)Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling., , , , , , , , , and 3 other author(s). CoRR, (2023)BEiT: BERT Pre-Training of Image Transformers., , and . CoRR, (2021)Multilingual E5 Text Embeddings: A Technical Report., , , , , and . CoRR, (2024)Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers., , , , , and . CoRR, (2022)UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training., , , , , , , , , and 1 other author(s). CoRR, (2021)