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Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74--81."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i7.16796"},{"key":"e_1_3_2_1_36_1","volume-title":"Reasoning on graphs: Faithful and interpretable large language model reasoning. arXiv preprint arXiv:2310.01061","author":"Luo Linhao","year":"2023","unstructured":"Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, and Shirui Pan. 2023. Reasoning on graphs: Faithful and interpretable large language model reasoning. arXiv preprint arXiv:2310.01061 (2023)."},{"key":"e_1_3_2_1_37_1","volume-title":"Chain-of-skills: A configurable model for open-domain question answering. arXiv preprint arXiv:2305.03130","author":"Ma Kaixin","year":"2023","unstructured":"Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, and Jianfeng Gao. 2023. Chain-of-skills: A configurable model for open-domain question answering. arXiv preprint arXiv:2305.03130 (2023)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjqs-2021-014130"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-123-10-199511150-00008"},{"key":"e_1_3_2_1_40_1","unstructured":"OpenAI. 2023. Color Health's Cancer Copilot. https:\/\/openai.com\/index\/colorhealth\/ Accessed: 2024-09--18."},{"key":"e_1_3_2_1_41_1","unstructured":"OpenAI. 2024. ChatGPT. https:\/\/openai.com\/index\/chatgpt\/ Accessed: 2024--10-07."},{"key":"e_1_3_2_1_42_1","unstructured":"OpenAI. 2024. GPT-4o. https:\/\/openai.com\/index\/hello-gpt-4o\/ Accessed: 2024--10-07."},{"key":"e_1_3_2_1_43_1","unstructured":"World Health Organization et al. 1992. ICD-11. (No Title) (1992)."},{"key":"e_1_3_2_1_44_1","volume-title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00605"},{"key":"e_1_3_2_1_46_1","volume-title":"A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis. arXiv preprint arXiv:2405.13082","author":"Rao Haocong","year":"2024","unstructured":"Haocong Rao, Minlin Zeng, Xuejiao Zhao, and Chunyan Miao. 2024. 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Raptor: Recursive abstractive processing for tree-organized retrieval. arXiv preprint arXiv:2401.18059 (2024)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.nlrse-1.1"},{"key":"e_1_3_2_1_50_1","volume-title":"Llm-mini-cex: Automatic evaluation of large language model for diagnostic conversation. arXiv preprint arXiv:2308.07635","author":"Shi Xiaoming","year":"2023","unstructured":"Xiaoming Shi, Jie Xu, Jinru Ding, Jiali Pang, Sichen Liu, Shuqing Luo, Xingwei Peng, Lu Lu, Haihong Yang, Mingtao Hu, et al. 2023. Llm-mini-cex: Automatic evaluation of large language model for diagnostic conversation. arXiv preprint arXiv:2308.07635 (2023)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Karthik Soman PeterWRose John H Morris Rabia E Akbas Brett Smith Braian Peetoom Catalina Villouta-Reyes Gabriel Cerono Yongmei Shi Angela Rizk-Jackson et al. 2023. 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Dykgchat: Benchmarking dialogue generation grounding on dynamic knowledge graphs. arXiv preprint arXiv:1910.00610 (2019)."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2023.102535"},{"key":"e_1_3_2_1_57_1","volume-title":"Bioinformatics and biomedical informatics with ChatGPT: Year one review. Quantitative Biology","author":"Wang Jinge","year":"2024","unstructured":"Jinge Wang, Zien Cheng, Qiuming Yao, Li Liu, Dong Xu, and Gangqing Hu. 2024. Bioinformatics and biomedical informatics with ChatGPT: Year one review. Quantitative Biology (2024)."},{"key":"e_1_3_2_1_58_1","unstructured":"Zixiang Wang Yinghao Zhu Junyi Gao Xiaochen Zheng Yuhui Zeng Yifan He Bowen Jiang Wen Tang Ewen M Harrison Chengwei Pan et al. [n. d.]. RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval. In Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare."},{"key":"e_1_3_2_1_59_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems 35 (2022), 24824--24837."},{"key":"e_1_3_2_1_60_1","volume-title":"A comprehensive exploration to the machine learning techniques for diabetes identification. In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT)","author":"Wei Sidong","unstructured":"Sidong Wei, Xuejiao Zhao, and Chunyan Miao. 2018. A comprehensive exploration to the machine learning techniques for diabetes identification. In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). 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Grounded conversation generation as guided traverses in commonsense knowledge graphs. arXiv preprint arXiv:1911.02707 (2019)."},{"key":"e_1_3_2_1_71_1","volume-title":"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2386--2398","author":"Zhang Kai","year":"2024","unstructured":"Kai Zhang, Yangyang Kang, Fubang Zhao, and Xiaozhong Liu. 2024. LLMbased Medical Assistant Personalization with Short-and Long-Term Memory Coordination. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2386--2398."},{"key":"e_1_3_2_1_72_1","volume-title":"Bertscore: Evaluating text generation with bert. arXiv preprint arXiv:1904.09675","author":"Zhang Tianyi","year":"2019","unstructured":"Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019. Bertscore: Evaluating text generation with bert. arXiv preprint arXiv:1904.09675 (2019)."},{"key":"e_1_3_2_1_73_1","volume-title":"Retrieval-augmented generation for ai-generated content: A survey. arXiv preprint arXiv:2402.19473","author":"Zhao Penghao","year":"2024","unstructured":"Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang,Wentao Zhang, and Bin Cui. 2024. Retrieval-augmented generation for ai-generated content: A survey. arXiv preprint arXiv:2402.19473 (2024)."},{"key":"e_1_3_2_1_74_1","unstructured":"Xuejiao Zhao. 2021. Explainable Q&A system based on domain-specific knowledge graph. (2021)."},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3113026"},{"key":"e_1_3_2_1_76_1","volume-title":"Naoya Sawada, Jing Li, and Shang-Wei Lin.","author":"Zhao Xuejiao","year":"2017","unstructured":"Xuejiao Zhao, Zhenchang Xing, Muhammad Ashad Kabir, Naoya Sawada, Jing Li, and Shang-Wei Lin. 2017. Hdskg: Harvesting domain specific knowledge graph from content of webpages. In 2017 ieee 24th international conference on software analysis, evolution and reengineering (saner). 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