research
∙
05/18/2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Generative pre-trained Transformer (GPT) has demonstrates its great succ...
share
research
∙
05/12/2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Summarization models often generate text that is poorly calibrated to qu...
research
∙
01/31/2023
Retrosynthetic Planning with Dual Value Networks
Retrosynthesis, which aims to find a route to synthesize a target molecu...
research
∙
07/14/2022
Unified 2D and 3D Pre-Training of Molecular Representations
Molecular representation learning has attracted much attention recently....
research
∙
06/30/2022
Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations
Multilingual Neural Machine Translation (MNMT) enables one system to tra...
research
∙
06/20/2022
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training
Drug-Target Affinity (DTA) prediction is an essential task for drug disc...
research
∙
02/03/2022
Direct Molecular Conformation Generation
Molecular conformation generation aims to generate three-dimensional coo...
research
∙
09/27/2021
Discovering Drug-Target Interaction Knowledge from Biomedical Literature
The Interaction between Drugs and Targets (DTI) in human body plays a cr...
research
∙
04/11/2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Transformer architecture achieves great success in abundant natural lang...
research
∙
03/05/2021
IOT: Instance-wise Layer Reordering for Transformer Structures
With sequentially stacked self-attention, (optional) encoder-decoder att...
research
∙
07/10/2020
Learn to Use Future Information in Simultaneous Translation
Simultaneous neural machine translation (briefly, NMT) has attracted muc...
research
∙
07/09/2020
Learning to Teach with Deep Interactions
Machine teaching uses a meta/teacher model to guide the training of a st...
research
∙
06/18/2020