On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.
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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Keep Me Updated! Memory Management in Long-term Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic.
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CoRR, 2020
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
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Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019
NSML: Meet the MLaaS platform with a real-world case study.
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CoRR, 2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms.
CoRR, 2018
NSML: A Machine Learning Platform That Enables You to Focus on Your Models.
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CoRR, 2017