research
∙
10/17/2022
Keep Me Updated! Memory Management in Long-term Conversations
Remembering important information from the past and continuing to talk a...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
07/24/2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
Graph Neural Networks (GNNs) have been emerging as a promising method fo...
research
∙
10/08/2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Many hyperparameter optimization (HyperOpt) methods assume restricted co...
research
∙
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...
research
∙
12/16/2017
