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10/17/2022
Keep Me Updated! Memory Management in Long-term Conversations
Remembering important information from the past and continuing to talk a...
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10/08/2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
There are growing interests in adapting large-scale language models usin...
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04/28/2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Many recent studies on large-scale language models have reported success...
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09/10/2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
GPT-3 shows remarkable in-context learning ability of large-scale langua...
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07/06/2020
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic
Tracking suspected cases of COVID-19 is crucial to suppressing the sprea...
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07/24/2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
Graph Neural Networks (GNNs) have been emerging as a promising method fo...
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10/08/2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Many hyperparameter optimization (HyperOpt) methods assume restricted co...
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10/08/2018
NSML: Meet the MLaaS platform with a real-world case study
The boom of deep learning induced many industries and academies to intro...
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12/16/2017