5 citations · 10 across the 11 of their papers we have counts for
5 papers · 1 filter
Large Language Models Need Holistically Thought in Medical Conversational QA
Yixuan Weng, Bin Li, Fei Xia +5
The medical conversational question answering (CQA) system aims at providing a series of professional medical services to improve the efficiency of medical care. Despite the succes…
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
Yiwei Li, Shaoxiong Feng, Bin Sun +1
With the development of deep learning, advanced dialogue generation methods usually require a greater amount of computational resources. One promising approach to obtaining a high-…
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation
Bin Li, Yixuan Weng, Ziyu Ma +2
This paper introduces the schemes of Team LingJing's experiments in NLPCC-2022-Shared-Task-4 Multi-modal Dialogue Understanding and Generation (MDUG). The MDUG task can be divided…
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation
Bin Li, Fei Xia, Yixuan Weng +2
Acronym disambiguation means finding the correct meaning of an ambiguous acronym from the dictionary in a given sentence, which is one of the key points for scientific document und…
PSG: Prompt-based Sequence Generation for Acronym Extraction
Bin Li, Fei Xia, Yixuan Weng +3
Acronym extraction aims to find acronyms (i.e., short-forms) and their meanings (i.e., long-forms) from the documents, which is important for scientific document understanding (SDU…