10 citations · 25 across the 6 of their papers we have counts for
3 papers · 1 filter
Towards Efficient Large Language Models for Scientific Text: A Review
Huy Quoc To, Ming Liu, Guangyan Huang
Large language models (LLMs) have ushered in a new era for processing complex information in various fields, including science. The increasing amount of scientific literature allow…
SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization
Huy Quoc To, Ming Liu, Guangyan Huang +4
Summarization for scientific text has shown significant benefits both for the research community and human society. Given the fact that the nature of scientific text is distinctive…
A Survey of Pre-trained Language Models for Processing Scientific Text
Xanh Ho, Anh Khoa Duong Nguyen, An Tuan Dao +6
The number of Language Models (LMs) dedicated to processing scientific text is on the rise. Keeping pace with the rapid growth of scientific LMs (SciLMs) has become a daunting task…