51 citations · 154 across the 12 of their papers we have counts for
16 papers
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
Yuxin Wang, Duanyu Feng, Yongfu Dai +5
Data serves as the fundamental foundation for advancing deep learning, particularly tabular data presented in a structured format, which is highly conducive to modeling. However, e…
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
Zheheng Luo, Chenhan Yuan, Qianqian Xie +1
Recent advancements in Large Language Models (LLMs) have demonstrated their potential in delivering accurate answers to questions about world knowledge. Despite this, existing benc…
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Automated lay summarisation (LS) aims to simplify complex technical documents into a more accessible format to non-experts. Existing approaches using pre-trained language models, p…
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan +8
Despite Spanish's pivotal role in the global finance industry, a pronounced gap exists in Spanish financial natural language processing (NLP) and application studies compared to En…
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles
Tomas Goldsack, Zheheng Luo, Qianqian Xie +4
This paper presents the results of the shared task on Lay Summarisation of Biomedical Research Articles (BioLaySumm), hosted at the BioNLP Workshop at ACL 2023. The goal of this sh…
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models
Chenhan Yuan, Qianqian Xie, Jimin Huang +1
Temporal reasoning is a crucial NLP task, providing a nuanced understanding of time-sensitive contexts within textual data. Although recent advancements in LLMs have demonstrated t…