Search Results for author:
Found 7 papers, 3 papers with code
Can Text-based Knowledge Graph Completion Benefit From Zero-Shot Large Language Models?
We found that (1) without fine-tuning, LLMs have the capability to further improve the quality of entity text descriptions.
Bioformer: an efficient transformer language model for biomedical text mining
We thoroughly evaluated the performance of Bioformer as well as existing biomedical BERT models including BioBERT and PubMedBERT on 15 benchmark datasets of four different biomedical NLP tasks: named entity recognition, relation extraction, question answering and document classification.
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature.
Multi-label topic classification for COVID-19 literature with Bioformer
Our results show that Bioformer outperforms BioBERT and PubMedBERT in this task.
Deciphering the Language of Nature: A transformer-based language model for deleterious mutations in proteins
In this study, we introduce MutFormer, a transformer-based model for the prediction of deleterious missense mutations, which uses reference and mutated protein sequences from the human genome as the primary features.
IPG-Net: Image Pyramid Guidance Network for Small Object Detection
In this paper, except for top-down combining of information for shallow layers, we propose a novel network called Image Pyramid Guidance Network (IPG-Net) to make sure both the spatial information and semantic information are abundant for each layer.
Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images
The high dimensionality of hyperspectral images often results in the degradation of clustering performance.
