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CIAug: Equipping Interpolative Augmentation with Curriculum Learning.

, , , , , and . NAACL-HLT, page 1758-1764. Association for Computational Linguistics, (2022)

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Greed is All You Need: An Evaluation of Tokenizer Inference Methods., , , and . CoRR, (2024)Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark., , , , , , , , , and 3 other author(s). CoRR, (2023)The BGU-MeLeL System for the SIGMORPHON 2023 Shared Task on Morphological Inflection., and . SIGMORPHON, page 166-170. Association for Computational Linguistics, (2023)Learning to Parallelize in a Shared-Memory Environment with Transformers., , and . PPoPP, page 450-452. ACM, (2023)Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations., , , and . CoRR, (2019)Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information., , , and . CoRR, (2021)Scope is all you need: Transforming LLMs for HPC Code., , , , , , , , , and 2 other author(s). CoRR, (2023)Tokenization Is More Than Compression., , , , , , and . CoRR, (2024)Syntactic Parsing of Web Queries with Question Intent., , and . HLT-NAACL, page 670-680. The Association for Computational Linguistics, (2016)Character Eyes: Seeing Language through Character-Level Taggers., , and . BlackboxNLP@ACL, page 95-102. Association for Computational Linguistics, (2019)