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20192024
most citedDialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation

37 citations · 194 across the 44 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CL2022★ 3 cited

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering

Siyuan Wang, Zhongyu Wei, Zhihao Fan +2

Multi-hop reasoning requires aggregating multiple documents to answer a complex question. Existing methods usually decompose the multi-hop question into simpler single-hop question…

cs.CL2022★ 2 cited

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training

Zhihao Fan, Zhongyu Wei, Jingjing Chen +4

Multi-modal pre-training and knowledge discovery are two important research topics in multi-modal machine learning. Nevertheless, none of existing works make attempts to link knowl…

cs.CL2022

DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations

Wei Chen, Cheng Zhong, Jiajie Peng +1

Diagnosis-oriented dialogue system queries the patient's health condition and makes predictions about possible diseases through continuous interaction with the patient. A few studi…

cs.CL2022★ 37 cited

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation

Wei Chen, Yeyun Gong, Song Wang +9

Dialog response generation in open domain is an important research topic where the main challenge is to generate relevant and diverse responses. In this paper, we propose a new dia…

cs.CL2022★ 2 cited

A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

Wei Chen, Zhiwei Li, Hongyi Fang +7

In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience. In this article, we propo…

cs.CV2022★ 4 cited

MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning

Zejun Li, Zhihao Fan, Huaixiao Tou +3

Previous vision-language pre-training models mainly construct multi-modal inputs with tokens and objects (pixels) followed by performing cross-modality interaction between them. We…