372 citations · 469 across the 29 of their papers we have counts for
10 papers · 1 filter
Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost
Juexiao Zhou, Xiuying Chen, Xin Gao
Medical artificial general intelligence (AGI) is an emerging field that aims to develop systems specifically designed for medical applications that possess the ability to understan…
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
Shubo Tian, Qiao Jin, Lana Yeganova +11
ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergenc…
Improving the Robustness of Summarization Systems with Dual Augmentation
Xiuying Chen, Guodong Long, Chongyang Tao +4
A robust summarization system should be able to capture the gist of the document, regardless of the specific word choices or noise in the input. In this work, we first explore the…
UMSE: Unified Multi-scenario Summarization Evaluation
Shen Gao, Zhitao Yao, Chongyang Tao +4
Summarization quality evaluation is a non-trivial task in text summarization. Contemporary methods can be mainly categorized into two scenarios: (1) reference-based: evaluating wit…
Interactive Natural Language Processing
Zekun Wang, Ge Zhang, Kexin Yang +19
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with t…
A Topic-aware Summarization Framework with Different Modal Side Information
Xiuying Chen, Mingzhe Li, Shen Gao +5
Automatic summarization plays an important role in the exponential document growth on the Web. On content websites such as CNN.com and WikiHow.com, there often exist various kinds…
SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model
Juexiao Zhou, Xiaonan He, Liyuan Sun +7
Skin and subcutaneous diseases rank high among the leading contributors to the global burden of nonfatal diseases, impacting a considerable portion of the population. Nonetheless,…
Learning towards Selective Data Augmentation for Dialogue Generation
Xiuying Chen, Mingzhe Li, Jiayi Zhang +6
As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples…
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately
Xin Cheng, Shen Gao, Yuchi Zhang +5
Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only need…
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order
Xiuying Chen, Mingzhe Li, Shen Gao +5
Nowadays, time-stamped web documents related to a general news query floods spread throughout the Internet, and timeline summarization targets concisely summarizing the evolution t…