Fetching the paper…
Reading the bibliography…
Large Language Model (LLM)-based agents have shown effectiveness across many applications.
Fast longest prefix matching: algorithms, analysis, and applications
Marcel Waldvogel · 2000
Earlier work this paper cites.
Exploring the predictable
Juergen Schmidhuber · 2003
Earlier work this paper cites.
Ml-plan: Automated machine learning via hierarchical planning
Felix Mohr, Marcel Wever, and Eyke Hüllermeier · 2018
Earlier work this paper cites.
Automated machine learning: methods, systems, challenges
Frank Hutter, Lars Kotthoff, and Joaquin Vanschoren · 2019
Earlier work this paper cites.
Measuring mathematical problem solving with the math dataset, 2021
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt · 2021
Earlier work this paper cites.
Winning solutions and post-challenge analyses of the chalearn autodl challenge 2019
Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Julio CS Jacques Junior, et al · 2021
Earlier work this paper cites.
Evolving fully automated machine learning via life-long knowledge anchors
Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, et al · 2021
Earlier work this paper cites.
Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks, 2022
Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W Cohen · 2022
Earlier work this paper cites.
Automating data science
Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H Hoos, Padhraic Smyth, and Christopher KI Williams · 2022
Earlier work this paper cites.
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
Earlier work this paper cites.
React: Synergizing reasoning and acting in language models, 2022
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2022
Earlier work this paper cites.
Qwen technical report, 2023
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al · 2023
Earlier work this paper cites.
Graph of thoughts: Solving elaborate problems with large language models
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, et al · 2023
Earlier work this paper cites.
Pal: Program-aided language models
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig · 2023
Earlier work this paper cites.
Chatgpt as your personal data scientist, 2023
Md Mahadi Hassan, Alex Knipper, and Shubhra Kanti Karmaker Santu · 2023
Earlier work this paper cites.
Large language models for automated data science: Introducing caafe for context-aware automated feature engineering, 2023
Noah Hollmann, Samuel Müller, and Frank Hutter · 2023
Earlier work this paper cites.
Metagpt: Meta programming for 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, et al · 2023
Cited alongside, same era.
Dspy: Compiling declarative language model calls into self-improving pipelines, 2023
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts · 2023
Cited alongside, same era.
Controlllm: Augment language models with tools by searching on graphs, 2023
Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, Erfei Cui, Zhiheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, et al · 2023
Cited alongside, same era.
GitHub - KillianLucas/open-interpreter: A natural language interface for computers — github.com
Killian Lucas · 2023
Cited alongside, same era.
Model-based reinforcement learning: A survey
Thomas M Moerland, Joost Broekens, Aske Plaat, Catholijn M Jonker, et al · 2023
Cited alongside, same era.
S-agents: self-organizing agents in open-ended environment, 2024
Jiaqi Chen, Yuxian Jiang, Jiachen Lu, and Li Zhang · 2024
Closest in time.
ToRA: A tool-integrated reasoning agent for mathematical problem solving
Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Minlie Huang, Nan Duan, and Weizhu Chen · 2024
Closest in time.
Ds-agent: Automated data science by empowering large language models with case-based reasoning
Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, and Jun Wang · 2024
Closest in time.
Infiagent-dabench: Evaluating agents on data analysis tasks, 2024
Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, and Fei Wu · 2024
Closest in time.
Mixtral of experts, 2024
Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Hierarchical automated machine learning (automl) for advanced unconventional reservoir characterization
Yousef Mubarak and Ardiansyah Koeshidayatullah · 2023
Cited alongside, same era.
Art: Automatic multi-step reasoning and tool-use for large language models, 2023
Bhargavi Paranjape, Scott Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, and Marco Tulio Ribeiro · 2023
Cited alongside, same era.
Creator: Tool creation for disentangling abstract and concrete reasoning of large language models
Cheng Qian, Chi Han, Yi Fung, Yujia Qin, Zhiyuan Liu, and Heng Ji · 2023
Cited alongside, same era.
Taskweaver: A code-first agent framework, 2023
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, and Dongmei Zhang · 2023
Cited alongside, same era.
Xagent: An autonomous agent for complex task solving
XAgent Team · 2023
Cited alongside, same era.
Craft: Customizing llms by creating and retrieving from specialized toolsets, 2023
Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, and Heng Ji · 2023
Cited alongside, same era.
Data-copilot: Bridging billions of data and humans with autonomous workflow
Wenqi Zhang, Yongliang Shen, Weiming Lu, and Yueting Zhuang · 2023
Cited alongside, same era.
Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis
Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, et al · 2024
Closest in time.
Large language model agent for hyper-parameter optimization
Siyi Liu, Chen Gao, and Yong Li · 2024
Closest in time.
Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2024
Closest in time.
Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2024
Closest in time.
Reflexion: Language agents with verbal reinforcement learning, 2024
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2024
Closest in time.
Prioritizing safeguarding over autonomy: Risks of llm agents for science, 2024
Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, et al · 2024
Closest in time.
Input conditioned graph generation for language agents, 2024
Lukas Vierling, Jie Fu, and Kai Chen · 2024
Closest in time.
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
Closest in time.
Easytool: Enhancing llm-based agents with concise tool instruction, 2024
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, and Deqing Yang · 2024
Closest in time.
Language agents as optimizable graphs, 2024
Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, and Jurgen Schmidhuber · 2024
Closest in time.