Nako Sung

According to our database1, Nako Sung authored at least 10 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.
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

2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic.
CoRR, 2020

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
Proceedings of the Interspeech 2020, 2020

2019
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

2018
NSML: Meet the MLaaS platform with a real-world case study.
CoRR, 2018

CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms.
CoRR, 2018

2017
NSML: A Machine Learning Platform That Enables You to Focus on Your Models.
CoRR, 2017


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