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This paper surveys and organizes research works on medical dialog systems, which is an important yet challenging task.
Language models are few-shot learners
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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An information-theoretic perspective of tf–idf measures
Akiko Aizawa. 2003 · 2003
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Flat: Chinese ner using flat-lattice transformer
Xiaonan Li, Hang Yan, Xipeng Qiu, and Xuanjing Huang. 2020 · 2004
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Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, and Xuanjing Huang. 2020 · 2004
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Chin-Yew Lin. 2004 · 2004
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On faithfulness and factuality in abstractive summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020 · 2005
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On the generation of medical dialogues for covid-19
Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, et al. 2020 · 2005
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A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies
Jost Schatzmann, Karl Weilhammer, Matt Stuttle, and Steve Young. 2006 · 2006
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Training inter-physician communication using the dynamic patient simulator®
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Development of virtual patient simulations for medical education
Douglas R Danforth, Mike Procter, Richard Chen, Mary Johnson, and Robert Heller. 2009 · 2009
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Trik: A talking and drawing robot for children with communication disabilities
Peter Ljunglöf, Staffan Larsson, Katarina Heimann Mühlenbock, and Gunilla Thunberg. 2009 · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
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Controlled hallucinations: Learning to generate faithfully from noisy data
Katja Filippova. 2020 · 2010
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The social life of health information, 2011
Susannah Fox et al. 2011 · 2011
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Lekbot: A talking and playing robot for children with disabilities
Peter Ljunglöf, Britt Claesson, Ingrid Mattsson Müller, Stina Ericsson, Cajsa Ottesjö, Alexander Berman, and Fredrik Kronlid. 2011 · 2011
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Detecting hallucinated content in conditional neural sequence generation
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Paco Guzman, Luke Zettlemoyer, and Marjan Ghazvininejad. 2020a · 2011
Earlier work this paper cites.
Collaboration-based medical knowledge recommendation
Zhengxing Huang, Xudong Lu, Huilong Duan, and Chenhui Zhao. 2012 · 2012
Earlier work this paper cites.
Evasion attacks against machine learning at test time
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, and Fabio Roli. 2013 · 2013
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Reliable medical recommendation systems with patient privacy
T Ryan Hoens, Marina Blanton, Aaron Steele, and Nitesh V Chawla. 2013 · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2013 · 2013
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Pomdp-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Means: A medical question-answering system combining nlp techniques and semantic web technologies
Asma Ben Abacha and Pierre Zweigenbaum. 2015 · 2015
Earlier work this paper cites.
Transition-based dependency parsing with stack long short-term memory
Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A Smith. 2015 · 2015
Earlier work this paper cites.
Sieve-based entity linking for the biomedical domain
Jennifer D’Souza and Vincent Ng. 2015 · 2015
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Teenchat: a chatterbot system for sensing and releasing adolescents’ stress
Jing Huang, Qi Li, Yuanyuan Xue, Taoran Cheng, Shuangqing Xu, Jia Jia, and Ling Feng. 2015a · 2015
Earlier work this paper cites.
Recurrent convolutional neural networks for text classification
Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
Earlier work this paper cites.
Ulisboa: Recognition and normalization of medical concepts
André Leal, Bruno Martins, and Francisco M Couto. 2015 · 2015
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2015 · 2015
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Using a virtual patient system for the teaching of pharmaceutical care
Elisa Menendez, Blície Balisa-Rocha, Monique Jabbur-Lopes, Wanderson Costa, José Rafael Nascimento, Marcos Dósea, Leila Silva, and Divaldo Lyra Junior. 2015 · 2015
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An overview of the bioasq large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, et al. 2015 · 2015
Earlier work this paper cites.
Audis: an automatic crf-enhanced disease normalization in biomedical text
Hsin-Chun Lee, Yi-Yu Hsu, and Hung-Yu Kao. 2016 · 2016
Earlier work this paper cites.
Normalising medical concepts in social media texts by learning semantic representation
Nut Limsopatham and Nigel Collier. 2016 · 2016
Earlier work this paper cites.
Recurrent neural network for text classification with multi-task learning
Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2016 · 2016
Earlier work this paper cites.
End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
Earlier work this paper cites.
Inquire and diagnose: Neural symptom checking ensemble using deep reinforcement learning
Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou, and Edward Y Chang. 2016 · 2016
Earlier work this paper cites.
Shihbot: A facebook chatbot for sexual health information on hiv/aids
Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron Artstein, and Anton Leuski. 2017 · 2017
Earlier work this paper cites.
Deep pyramid convolutional neural networks for text categorization
Rie Johnson and Tong Zhang. 2017 · 2017
Earlier work this paper cites.
The chatbot feels you-a counseling service using emotional response generation
Dongkeon Lee, Kyo-Joong Oh, and Ho-Jin Choi. 2017 · 2017
Earlier work this paper cites.
Why we need new evaluation metrics for nlg
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, and Verena Rieser. 2017 · 2017
Earlier work this paper cites.
A chatbot for psychiatric counseling in mental healthcare service based on emotional dialogue analysis and sentence generation
Kyo-Joong Oh, Dongkun Lee, Byungsoo Ko, and Ho-Jin Choi. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Generation of synthetic electronic medical record text
Jiaqi Guan, Runzhe Li, Sheng Yu, and Xuegong Zhang. 2018 · 2018
Cited alongside, same era.
Emotional dialogue generation using image-grounded language models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, and Bill Dolan. 2018 · 2018
Cited alongside, same era.
Understanding patient query with weak supervision from doctor response
Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, and Wanxiang Che. 2021 · 2021
Later among the works it cites.
Building an efficient and effective retrieval-based dialogue system via mutual learning
Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, and Daxin Jiang. 2021 · 2021
Later among the works it cites.
Writing by memorizing: Hierarchical retrieval-based medical report generation
Xingyi Yang, Muchao Ye, Quanzeng You, and Fenglong Ma. 2021 · 2021
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Cblue: A chinese biomedical language understanding evaluation benchmark
Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, et al. 2021 · 2021
Later among the works it cites.
A benchmark for automatic medical consultation system: Frameworks, tasks and datasets
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Robot-assisted socio-emotional intervention framework for children with autism spectrum disorder
Hifza Javed, Myounghoon Jeon, Ayanna Howard, and Chung Hyuk Park. 2018 · 2018
Cited alongside, same era.
Context-aware symptom checking for disease diagnosis using hierarchical reinforcement learning
Hao-Cheng Kao, Kai-Fu Tang, and Edward Chang. 2018 · 2018
Cited alongside, same era.
Conversational agents in healthcare: a systematic review
Liliana Laranjo, Adam G Dunn, Huong Ly Tong, Ahmet Baki Kocaballi, Jessica Chen, Rabia Bashir, Didi Surian, Blanca Gallego, Farah Magrabi, Annie YS Lau, et al. 2018 · 2018
Cited alongside, same era.
Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
Cited alongside, same era.
Hybrid retrieval-generation reinforced agent for medical image report generation
Yuan Li, Xiaodan Liang, Zhiting Hu, and Eric P Xing. 2018 · 2018
Cited alongside, same era.
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, and Larry Heck. 2018 · 2018
Cited alongside, same era.
Multi-task medical concept normalization using multi-view convolutional neural network
Yi Luo, Guojie Song, Pengyu Li, and Zhongang Qi. 2018 · 2018
Cited alongside, same era.
Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Zhongyu Wei, et al. 2022 · 2022
Later among the works it cites.
Wish i can feel what you feel: A neural approach for empathetic response generation
Yangbin Chen and Chunfeng Liang. 2022 · 2022
Later among the works it cites.
Chinese medical dialogue information extraction via contrastive multi-utterance inference
Jianhua Dai, Chao Jiang, Ruoyao Peng, Daojian Zeng, and Yangding Li. 2022 · 2022
Later among the works it cites.
Bioreader: a retrieval-enhanced text-to-text transformer for biomedical literature
Giacomo Frisoni, Miki Mizutani, Gianluca Moro, and Lorenzo Valgimigli. 2022 · 2022
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A survey of recommendation systems: recommendation models, techniques, and application fields
Hyeyoung Ko, Suyeon Lee, Yoonseo Park, and Anna Choi. 2022 · 2022
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Factuality enhanced language models for open-ended text generation
Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale N Fung, Mohammad Shoeybi, and Bryan Catanzaro. 2022 · 2022
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A survey on retrieval-augmented text generation
Huayang Li, Yixuan Su, Deng Cai, Yan Wang, and Lemao Liu. 2022 · 2022
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Improving biomedical information retrieval with neural retrievers
Man Luo, Arindam Mitra, Tejas Gokhale, and Chitta Baral. 2022 · 2022
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Rethinking the role of demonstrations: What makes in-context learning work?
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2022 · 2022
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Incorporating medical knowledge to transformer-based language models for medical dialogue generation
Usman Naseem, Ajay Bandi, Shaina Raza, Junaid Rashid, and Bharathi Raja Chakravarthi. 2022 · 2022
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Enhancing joint multiple intent detection and slot filling with global intent-slot co-occurrence
Mengxiao Song, Bowen Yu, Li Quangang, Wang Yubin, Tingwen Liu, and Hongbo Xu. 2022 · 2022
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The ai doctor is in: A survey of task-oriented dialogue systems for healthcare applications
Mina Valizadeh and Natalie Parde. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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A survey of joint intent detection and slot filling models in natural language understanding
Henry Weld, Xiaoqi Huang, Siqu Long, Josiah Poon, and Soyeon Caren Han. 2022 · 2022
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Deep learning for dialogue systems: Chit-chat and beyond
Rui Yan, Juntao Li, Zhou Yu, et al. 2022 · 2022
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Conversational question answering: A survey
Munazza Zaib, Wei Emma Zhang, Quan Z Sheng, Adnan Mahmood, and Yang Zhang. 2022 · 2022
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Hierarchical reinforcement learning for automatic disease diagnosis
Cheng Zhong, Kangenbei Liao, Wei Chen, Qianlong Liu, Baolin Peng, Xuanjing Huang, Jiajie Peng, and Zhongyu Wei. 2022 · 2022
Later among the works it cites.
Knowledge-enhanced interactive matching network for multi-turn response selection in medical dialogue systems
Ying Zhu, Shi Feng, Daling Wang, Yifei Zhang, and Donghong Han. 2022 · 2022
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Exploring the numerical reasoning capabilities of language models: A comprehensive analysis on tabular data
Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, and Elena Simperl. 2023 · 2023
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Disc-medllm: Bridging general large language models and real-world medical consultation
Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, and Zhongyu Wei. 2023 · 2023
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Medbench: A large-scale chinese benchmark for evaluating medical large language models
Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, and Liang He. 2023 · 2023
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KNSE: A knowledge-aware natural language inference framework for dialogue symptom status recognition
Wei Chen, Shiqi Wei, Zhongyu Wei, and Xuanjing Huang. 2023c · 2023
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Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. 2023 · 2023
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Enhancing the reliability and accuracy of ai-enabled diagnosis via complementarity-driven deferral to clinicians
Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey, Sumedh Ghaisas, Robert Stanforth, Nick Pawlowski, Patricia Strachan, Zahra Ahmed, Shekoofeh Azizi, Yoram Bachrach, et al. 2023 · 2023
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Leveraging a medical knowledge graph into large language models for diagnosis prediction
Yanjun Gao, Ruizhe Li, John Caskey, Dmitriy Dligach, Timothy Miller, Matthew M Churpek, and Majid Afshar. 2023 · 2023
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Critic: Large language models can self-correct with tool-interactive critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, and Weizhu Chen. 2023 · 2023
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A survey on large language models: Applications, challenges, limitations, and practical usage
Muhammad Usman Hadi, Rizwan Qureshi, Abbas Shah, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Jia Wu, Seyedali Mirjalili, et al. 2023 · 2023
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Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, and Erik Cambria. 2023 · 2023
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Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models
Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, and Soujanya Poria. 2023 · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Medcpt: Contrastive pre-trained transformers with large-scale pubmed search logs for zero-shot biomedical information retrieval
Qiao Jin, Won Kim, Qingyu Chen, Donald C Comeau, Lana Yeganova, W John Wilbur, and Zhiyong Lu. 2023 · 2023
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Can generalist foundation models outcompete special-purpose tuning? case study in medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, et al. 2023 · 2023
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OpenAI. 2023 · 2023
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End-to-end task-oriented dialogue: A survey of tasks, methods, and future directions
Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, and Min Li. 2023 · 2023
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Caregpt: Medical llm, open source driven for a healthy future
Wang Rongsheng, Zhou Ruizhe, Chen Haoming, Wang Yapeng, and Tan Tao. 2023 · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023 · 2023
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Survey of vulnerabilities in large language models revealed by adversarial attacks
Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, and Nael Abu-Ghazaleh. 2023 · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. 2023 · 2023
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Augustin Toma, Patrick R Lawler, Jimmy Ba, Rahul G Krishnan, Barry B Rubin, and Bo Wang. 2023 · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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Knowledge graph assisted end-to-end medical dialog generation
Deeksha Varshney, Aizan Zafar, Niranshu Kumar Behera, and Asif Ekbal. 2023 · 2023
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Promptcblue
Zhu Wei, Chen Mosha, and Wang Xiaoling. 2023 · 2023
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Doctorglm: Fine-tuning your chinese doctor is not a herculean task
Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Qian Wang, and Dinggang Shen. 2023 · 2023
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Songhua Yang, Hanjia Zhao, Senbin Zhu, Guangyu Zhou, Hongfei Xu, Yuxiang Jia, and Hongying Zan. 2023 · 2023
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Is chatgpt equipped with emotional dialogue capabilities?
Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, and Bing Qin. 2023 · 2023
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Towards conversational diagnostic ai
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, et al. 2024 · 2024
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Medbench
Shaoting Zhang. 2024 · 2024
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Recent advances and challenges in task-oriented dialog systems
Zheng Zhang, Ryuichi Takanobu, Qi Zhu, MinLie Huang, and XiaoYan Zhu. 2020b · 2027
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Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston, and Y-Lan Boureau. 2020 · 2030
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