Search Results for author: Jiajie Peng

Found 10 papers, 6 papers with code

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

1 code implementation28 Aug 2023 Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei

We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services.

Knowledge Graphs

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

1 code implementation8 May 2022 Wei Chen, Cheng Zhong, Jiajie Peng, Zhongyu Wei

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

Decoder Reinforcement Learning (RL) +1

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

1 code implementation19 Apr 2022 Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei

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

Dialogue Act Classification Dialogue Understanding +4

Curriculum Learning for Vision-and-Language Navigation

no code implementations NeurIPS 2021 Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng

Vision-and-Language Navigation (VLN) is a task where an agent navigates in an embodied indoor environment under human instructions.

Vision and Language Navigation

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

1 code implementation19 Feb 2020 Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Cheng, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng

Transfer Learning (TL) has shown great potential to accelerate Reinforcement Learning (RL) by leveraging prior knowledge from past learned policies of relevant tasks.

reinforcement-learning Reinforcement Learning (RL) +1

Deep Feature Learning of Multi-Network Topology for Node Classification

no code implementations7 Sep 2018 Hansheng Xue, Jiajie Peng, Xuequn Shang

Network Embedding, aiming to learn non-linear and low-dimensional feature representation based on network topology, has been proved to be helpful on tasks of network analysis, especially node classification.

General Classification Network Embedding +1

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