Hierarchical interdisciplinary topic detection model for research proposal classification
The peer merit review of research proposals has been the major mechanism to decide grant
awards. However, research proposals have become increasingly interdisciplinary. It has …
awards. However, research proposals have become increasingly interdisciplinary. It has …
Needed: Introducing hierarchical transformer to eye diseases diagnosis
With the development of natural language processing tech-niques (NLP), automatic
diagnosis of eye diseases using ophthalmology electronic medical records (OEMR) has …
diagnosis of eye diseases using ophthalmology electronic medical records (OEMR) has …
Resolving the imbalance issue in hierarchical disciplinary topic inference via llm-based data augmentation
In addressing the imbalanced issue of data within the realm of Natural Language
Processing, text data augmentation methods have emerged as pivotal solutions. This data …
Processing, text data augmentation methods have emerged as pivotal solutions. This data …
Automated taxonomy alignment via large language models: bridging the gap between knowledge domains
Taxonomy alignment is essential for integrating knowledge across diverse domains and
languages, facilitating information retrieval and data integration. Traditional methods heavily …
languages, facilitating information retrieval and data integration. Traditional methods heavily …
Interdisciplinary fairness in imbalanced research proposal topic inference: A hierarchical transformer-based method with selective interpolation
The objective of topic inference in research proposals aims to obtain the most suitable
disciplinary division from the discipline system defined by a funding agency. The agency will …
disciplinary division from the discipline system defined by a funding agency. The agency will …
GeneSum: Large Language Model-based Gene Summary Extraction
Z Chen, C Hu, M Wu, Q Long, X Wang… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Emerging topics in biomedical research are continuously expanding, providing a wealth of
information about genes and their function. This rapid proliferation of knowledge presents …
information about genes and their function. This rapid proliferation of knowledge presents …
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
Multimodal recommendation systems (MMRS) have received considerable attention from
the research community due to their ability to jointly utilize information from user behavior …
the research community due to their ability to jointly utilize information from user behavior …
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training
The rapid advancement of large language models (LLMs) in biological-medical applications
has highlighted a gap between their potential and the limited scale and often low quality of …
has highlighted a gap between their potential and the limited scale and often low quality of …
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment
Zero-Shot Hashing (ZSH) has aroused significant attention due to its efficiency and
generalizability in multi-modal retrieval scenarios, which aims to encode semantic …
generalizability in multi-modal retrieval scenarios, which aims to encode semantic …
[PDF][PDF] Hierarchical mixup multi-label classification with imbalanced interdisciplinary research proposals
Funding agencies are largely relied on a topic matching between domain experts and
research proposals to assign proposal reviewers. As proposals are increasingly …
research proposals to assign proposal reviewers. As proposals are increasingly …