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What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . EMNLP (1), page 3405-3424. Association for Computational Linguistics, (2021)

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Leveraging Class Hierarchy in Fashion Classification., , , , and . ICCV Workshops, page 3197-3200. IEEE, (2019)Towards More Realistic Generation of Information-Seeking Conversations., , , and . CoRR, (2022)TaleBrush: Sketching Stories with Generative Pretrained Language Models., , , , , and . CHI, page 209:1-209:19. ACM, (2022)Slot Filling with Delexicalized Sentence Generation., , and . INTERSPEECH, page 2082-2086. ISCA, (2018)Critic-Guided Decoding for Controlled Text Generation., , , , , and . ACL (Findings), page 4598-4612. Association for Computational Linguistics, (2023)On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model., , , and . CoRR, (2023)KMMLU: Measuring Massive Multitask Language Understanding in Korean., , , , , , , , and . CoRR, (2024)TaleBrush: Visual Sketching of Story Generation with Pretrained Language Models., , , , , and . CHI Extended Abstracts, page 172:1-172:4. ACM, (2022)Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method., , and . COLING, page 1051-1064. International Committee on Computational Linguistics, (2022)AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models., , , , , , , , , and . EMNLP (Findings), page 3288-3305. Association for Computational Linguistics, (2022)