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Large Language Models (LLMs) have made significant progress in various fields.
The effectiveness of nominal, delphi, and interacting group decision making processes
Andrew H Van De Ven and Andre L Delbecq. 1974 · 1974
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Multidisciplinary teams and clinics: better care or just more care
Martin A Makary. 2011 · 2011
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019
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What disease does this patient have? a large-scale open domain question answering dataset from medical exams
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2021 · 2021
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Assessment of bias in patient safety reporting systems categorized by physician gender, race and ethnicity, and faculty rank: a qualitative study
Élan Burton, Brenda Flores, Barbara Jerome, Michael Baiocchi, Yan Min, Yvonne A Maldonado, and Magali Fassiotto. 2022 · 2022
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Specialist multidisciplinary input maximises rare disease diagnoses from whole genome sequencing
William L Macken, Micol Falabella, Caroline McKittrick, Chiara Pizzamiglio, Rebecca Ellmers, Kelly Eggleton, Cathy E Woodward, Yogen Patel, Robyn Labrum, et al. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 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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Selfevolve: A code evolution framework via large language models
Shuyang Jiang, Yuhao Wang, and Yu Wang. 2023 · 2023
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Training socially aligned language models on simulated social interactions
Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew M Dai, Diyi Yang, and Soroush Vosoughi. 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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Med-halt: Medical domain hallucination test for large language models
Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu. 2023 · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Cited alongside, same era.
Medagents: Large language models as collaborators for zero-shot medical reasoning
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, and Mark Gerstein. 2023 · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Cognitive mirage: A review of hallucinations in large language models
Multi-expert prompting improves reliability, safety and usefulness of large language models
Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, and Nancy F. Chen. 2024 · 2024
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LLM discussion: Enhancing the creativity of large language models via discussion framework and role-play
Li-Chun Lu, Shou-Jen Chen, Tsung-Min Pai, Chan-Hung Yu, Hung yi Lee, and Shao-Hua Sun. 2024 · 2024
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Evaluating very long-term conversational memory of LLM agents
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang. 2024 · 2024
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Advancing healthcare automation: Multi-agent system for medical necessity justification
Himanshu Gautam Pandey, Akhil Amod, and Shivang Kumar. 2024 · 2024
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Agentclinic: a multimodal agent benchmark to evaluate ai in simulated clinical environments
Samuel Schmidgall, Rojin Ziaei, Carl Harris, Eduardo Reis, Jeffrey Jopling, and Michael Moor. 2024 · 2024
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Hongbin Ye, Tong Liu, Aijia Zhang, Wei Hua, and Weiqiang Jia. 2023 · 2023
Cited alongside, same era.
The difficulty of medical decision-making: should patients be involved?
Junbin Zhou and Xiao Xu. 2023 · 2023
Cited alongside, same era.
Multi-agent software development through cross-team collaboration
Zhuoyun Du, Chen Qian, Wei Liu, Zihao Xie, Yifei Wang, Yufan Dang, Weize Chen, and Cheng Yang. 2024 · 2024
Cited alongside, same era.
Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al. 2024 · 2024
Cited alongside, same era.
MetaGPT: Meta programming for a multi-agent collaborative framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2024 · 2024
Cited alongside, same era.
Mdagents: An adaptive collaboration of llms for medical decision-making
Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, and Hae Won Park. 2024 · 2024
Cited alongside, same era.
Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al. 2024 · 2024
Cited alongside, same era.
Are more llm calls all you need? towards scaling laws of compound inference systems
Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, and James Zou. 2024a
Cited in the paper.
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Medco: Medical education copilots based on a multi-agent framework
Hao Wei, Jianing Qiu, Haibao Yu, and Wu Yuan. 2024 · 2024
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2024 · 2024
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Chatglm: A family of large language models from glm-130b to glm-4 all tools
Ji Zeng, Ben Zhang, Yingqi Ma, Kai Sun, Hao Zhou, Yang Liu, et al. 2024 · 2024
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Expel: Llm agents are experiential learners
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, and Gao Huang. 2024 · 2024
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2024 · 2024
Later among the works it cites.