Search Results for author:
Found 4 papers, 0 papers with code
Using Pre-Trained Transformer for Better Lay Summarization
In this paper, we tack lay summarization tasks, which aim to automatically produce lay summaries for scientific papers, to participate in the first CL-LaySumm 2020 in SDP workshop at EMNLP 2020.
Revisiting Pretraining with Adapters
Pretrained language models have served as the backbone for many state-of-the-art NLP results.
A Bayesian Committee Machine Potential for Oxygen-containing Organic Compounds
Understanding the pivotal role of oxygen-containing organic compounds in serving as an energy source for living organisms and contributing to protein formation is crucial in the field of biochemistry.
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
The human brain remains continuously active, whether an individual is working or at rest.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
