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Large Language Models (LLMs) excel in traditional natural language processing tasks but struggle with problems that require complex domain-specific calculations or simulations.
Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman. 2021 · 2021
Earlier work this paper cites.
Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al. 2021 · 2021
Earlier work this paper cites.
Minedojo: Building open-ended embodied agents with internet-scale knowledge
Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, and Anima Anandkumar. 2022 · 2022
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Mind’s eye: Grounded language model reasoning through simulation
Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, and Andrew M. Dai. 2022 · 2022
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Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022 · 2022
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OpenAI: Introducing ChatGPT
OpenAI. 2022 · 2022
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Talm: Tool augmented language models
Aaron Parisi, Yao Zhao, and Noah Fiedel. 2022 · 2022
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Autogpt
AutoGPT. 2023 · 2023
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Enhancing large language models with climate resources
M. Kraus, J. Bingler, M. Leippold, T. Schimanski, C. C. Senni, D. Stammbach, S. Vaghefi, and N. Webersinke. 2023 · 2023
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Mycrunchgpt: A chatgpt assisted framework for scientific machine learning
V. V. Kumar, L. Gleyzer, A. Kahana, K. Shukla, and G. E. Karniadakis. 2023 · 2023
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Camel: Communicative agents for "mind" exploration of large scale language model society
Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023 · 2023
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Agentbench: Evaluating llms as agents
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, and Jie Tang. 2023 · 2023
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OpenAI. 2023 · 2023
Earlier work this paper cites.
Generative agents: Interactive simulacra of human behavior
J. S. Park, J. O’Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein. 2023 · 2023
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Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez. 2023 · 2023
Cited alongside, same era.
Webcpm: Interactive web search for chinese long-form question answering
Y. Qin, Z. Cai, D. Jin, L. Yan, S. Liang, K. Zhu, Y. Lin, X. Han, N. Ding, H. Wang, R. Xie, F. Qi, Z. Liu, M. Sun, and J. Zhou. 2023a · 2023
Cited alongside, same era.
Toolformer: Language models can teach themselves to use tools
T. Schick, J. Dwivedi-Yu, R. Dessi, R. Raileanu, M. Lomeli, E. Hambro, L. Zettlemoyer, N. Cancedda, and T. Scialom. 2023 · 2023
Cited alongside, same era.
Cognitive architectures for language agents
Theodore Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas Griffiths. 2023 · 2023
Cited alongside, same era.
Scieval: A multi-level large language model evaluation benchmark for scientific research
Liangtai Sun, Yang Han, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, and Kai Yu. 2023 · 2023
Metagpt: Meta programming for a multi-agent collaborative framework
Sirui Hong, Mingchen Zhuge, Jiaqi Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2024 · 2024
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SWE-bench: Can language models resolve real-world github issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R Narasimhan. 2024 · 2024
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Local climate services for all, courtesy of large language models
N. Koldunov and T. Jung. 2024 · 2024
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Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, and Rose Yu. 2024 · 2024
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Llm and simulation as bilevel optimizers: A new paradigm to advance physical scientific discovery
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Cited alongside, same era.
Gemini: a family of highly capable multimodal models
G. Team, R. Anil, S. Borgeaud, Y. Wu, J. Alayrac, J. Yu, R. Soricut, J. Schalkwyk, A. M. Dai, A. Hauth, et al. 2023 · 2023
Cited alongside, same era.
Chatclimate: Grounding conversational ai in climate science
S. Vaghefi, Q. Wang, V. Muccione, J. Ni, M. Kraus, J. Bingler, T. Schimanski, C. C. Senni, N. Webersinke, C. Huggel, and M. Leippold. 2023 · 2023
Cited alongside, same era.
Voyager: An open-ended embodied agent with large language models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar. 2023 · 2023
Cited alongside, same era.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023
Cited alongside, same era.
Xagent: An autonomous agent for complex task solving
XAgent. 2023 · 2023
Cited alongside, same era.
Proagent: From robotic process automation to agentic process automation
Y. Ye, X. Cong, S. Tian, J. Cao, H. Wang, Y. Qin, Y. Lu, H. Yu, H. Wang, Y. Lin, Z. Liu, and M. Sun. 2023 · 2023
Cited alongside, same era.
Super: Evaluating agents on setting up and executing tasks from research repositories
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, and Tushar Khot. 2024 · 2024
Cited alongside, same era.
P. Ma, T. Wang, M. Guo, Z. Sun, J. B. Tenenbaum, D. Rus, C. Gan, and W. Matusik. 2024 · 2024
Closest in time.
Metascientist: A human-ai synergistic framework for automated mechanical metamaterial design
J. Qi, Z. Jia, M. Liu, W. Zhan, J. Zhang, X. Wen, J. Gan, J. Chen, Q. Liu, M. D. Ma, B. Li, H. Wang, A. Kulkarni, M. Chen, D. Zhou, L. Li, W. Wang, and L. Huang. 2024 · 2024
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Tool learning with foundation models
Y. Qin, S. Hu, Y. Lin, W. Chen, N. Ding, G. Cui, Z. Zeng, Y. Huang, C. Xiao, C. Han, Y. R. Fung, Y. Su, H. Wang, C. Qian, R. Tian, K. Zhu, S. Liang, X. Shen, B. Xu, Z. Zhang, Y. Ye, B. Li, Z. Tang, J. Yi, Y. Zhu, Z. Dai, L. Yan, X. Cong, Y. Lu, W. Zhao, Y. Huang, J. Yan, X. Han, X. Sun, D. Li, J. Phang, C. Yang, T. Wu, H. Ji, Z. Liu, and M. Sun. 2024 · 2024
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Xiangru Tang, Yuliang Liu, Zefan Cai, Yanjun Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Liang Chen, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yin Fang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, and Mark Gerstein. 2024 · 2024
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Climategpt: Towards ai synthesizing interdisciplinary research on climate change
D. Thulke, Y. Gao, P. Pelser, R. Brune, R. Jalota, F. Fok, M. Ramos, I. Wyk, A. Nasir, H. Goldstein, et al. 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, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, and Tao Yu. 2024 · 2024
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Tooling or not tooling? the impact of tools on language agents for chemistry problem solving
B. Yu, F. N. Baker, Z. Chen, G. Herb, B. Gou, D. Adu-Ampratwum, X. Ning, and H. Sun. 2024 · 2024
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The claude 3 model family: Opus, sonnet, haiku
Anthropic. 2024 · 2025
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Why do multi-agent llm systems fail?
Mert Cemri, Melissa Z Pan, Shuyi Yang, Lakshya A Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Dan Klein, Kannan Ramchandran, et al. 2025 · 2025
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