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The Expressive Power of Word Embeddings, , , and . CoRR, (2013)Character-Level Language Modeling with Deeper Self-Attention., , , , and . CoRR, (2018)DDGK: Learning Graph Representations for Deep Divergence Graph Kernels., , and . WWW, page 37-48. ACM, (2019)MotionLM: Multi-Agent Motion Forecasting as Language Modeling., , , , , , , , and . ICCV, page 8545-8556. IEEE, (2023)Let Your Graph Do the Talking: Encoding Structured Data for LLMs., , , , , , and . CoRR, (2024)SpeedRead: A Fast Named Entity Recognition Pipeline., and . COLING, page 51-66. Indian Institute of Technology Bombay, (2012)Bridging the Gap for Tokenizer-Free Language Models., , , , and . CoRR, (2019)Statistically Significant Detection of Linguistic Change., , , and . WWW, page 625-635. ACM, (2015)mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer., , , , , , , and . NAACL-HLT, page 483-498. Association for Computational Linguistics, (2021)The Power of Scale for Parameter-Efficient Prompt Tuning., , and . EMNLP (1), page 3045-3059. Association for Computational Linguistics, (2021)