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As AI continues to advance, there is a growing demand for systems that go beyond language-based assistance and move toward intelligent agents capable of performing real-world actions.
Large language models in medicine
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Large language models still can’t plan (a benchmark for LLMs on planning and reasoning about change). In NeurIPS 2022 Foundation Models for Decision Making Workshop
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Action-gpt: Leveraging large-scale language models for improved and generalized action generation. In 2023 IEEE International Conference on Multimedia and Expo (ICME) . IEEE, 31–36
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Embracing large language models for medical applications: opportunities and challenges
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ChatGPT for good? On opportunities and challenges of large language models for education
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A survey on fairness in large language models
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Domain specialization as the key to make large language models disruptive: A comprehensive survey
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The imperative for regulatory oversight of large language models (or generative AI) in healthcare
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The challenges for regulating medical use of ChatGPT and other large language models
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Biases in large language models: origins, inventory, and discussion
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AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
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Rag and rau: A survey on retrieval-augmented language model in natural language processing
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Xpert: Empowering incident management with query recommendations via large language models. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering . 1–13
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Tptu: Task planning and tool usage of large language model-based ai agents. In NeurIPS 2023 Foundation Models for Decision Making Workshop
Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, et al · 2023
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Audiopalm: A large language model that can speak and listen
Paul K Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, et al · 2023
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Using large language models to generate, validate, and apply user intent taxonomies
Chirag Shah, Ryen W White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, et al · 2023
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Data management for large language models: A survey
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The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, et al · 2023
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Wizardlm: Empowering large language models to follow complex instructions
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The dawn of lmms: Preliminary explorations with gpt-4v (ision)
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang. 2023a · 2023
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Language models can solve computer tasks
Geunwoo Kim, Pierre Baldi, and Stephen McAleer. 2024 · 2024
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On the Effects of Data Scale on Computer Control Agents
Wei Li, William Bishop, Alice Li, Chris Rawles, Folawiyo Campbell-Ajala, Divya Tyamagundlu, and Oriana Riva. 2024 · 2024
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Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
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Towards safer large language models through machine unlearning
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Large language models: A survey
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Scaling data-constrained language models
Niklas Muennighoff, Alexander Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, and Colin A Raffel. 2024 · 2024
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Screenagent: A vision language model-driven computer control agent
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AndroidWorld: A dynamic benchmarking environment for autonomous agents
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Androidinthewild: A large-scale dataset for android device control
Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, and Timothy Lillicrap. 2024b · 2024
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2024 · 2024
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MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot
Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, and Yuan Huang. 2024 · 2024
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Towards general computer control: A multimodal agent for red dead redemption ii as a case study
Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, et al · 2024
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Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
Junyang Wang, Haiyang Xu, Jiabo Ye, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, and Jitao Sang. 2024d · 2024
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al · 2024
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Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, et al · 2024
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Opendevin: An open platform for ai software developers as generalist agents
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Os-copilot: Towards generalist computer agents with self-improvement
Zhiyong Wu, Chengcheng Han, Zichen Ding, Zhenmin Weng, Zhoumianze Liu, Shunyu Yao, Tao Yu, and Lingpeng Kong. 2024 · 2024
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Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments
Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, et al · 2024
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Practical and ethical challenges of large language models in education: A systematic scoping review
Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martinez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, and Dragan Gašević. 2024 · 2024
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UFO: A UI-Focused Agent for Windows OS Interaction
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AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, et al · 2024
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xLAM: A Family of Large Action Models to Empower AI Agent Systems
Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, et al · 2024
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On the out-of-distribution generalization of multimodal large language models
Xingxuan Zhang, Jiansheng Li, Wenjing Chu, Junjia Hai, Renzhe Xu, Yuqing Yang, Shikai Guan, Jiazheng Xu, and Peng Cui. 2024c · 2024
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RuAG: Learned-rule-augmented Generation for Large Language Models
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A survey on the memory mechanism of large language model based agents
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen. 2024a · 2024
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