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Large language models (LLMs) have demonstrated strong potential and impressive performance in automating the generation and optimization of workflows.
“HotpotQA: A dataset for diverse, explainable multi-hop question answering,”
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D. Manning, · 2018
Earlier work this paper cites.
“DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs,”
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and Matt Gardner, · 2019
Earlier work this paper cites.
“Alfworld: Aligning text and embodied environments for interactive learning,”
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew J. Hausknecht, · 2020
Earlier work this paper cites.
“Measuring mathematical problem solving with the math dataset,”
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Xiaodong Song, and Jacob Steinhardt, · 2021
Earlier work this paper cites.
“Program synthesis with large language models,”
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie J. Cai, Michael Terry, Quoc V. Le, and Charles Sutton, · 2021
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
Cited alongside, same era.
“Self-consistency improves chain of thought reasoning in language models,”
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou, · 2022
Cited alongside, same era.
“Reflexion: language agents with verbal reinforcement learning,”
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao, · 2023
Cited alongside, same era.
“Llm-planner: Few-shot grounded planning for embodied agents with large language models,”
Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, and Yu Su, · 2023
Cited alongside, same era.
“Improving factuality and reasoning in language models through multiagent debate,”
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, and Igor Mordatch, · 2023
“Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration,”
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, and Heng Ji, · 2023
Later among the works it cites.
“Self-refine: Iterative refinement with self-feedback,”
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, and Peter Clark, · 2023
Later among the works it cites.
“Data interpreter: An llm agent for data science,”
Sirui Hong, Yizhang Lin, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Lingyao Zhang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zhibin Gou, Zongze Xu, Chenglin Wu, Li Zhang, Min Yang, and Xiawu Zheng, · 2024
Later among the works it cites.
“Automated design of agentic systems,”
Shengran Hu, Cong Lu, and Jeff Clune, · 2024
Later among the works it cites.
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Cited alongside, same era.
“Evaluating large language models trained on code,”
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé, Jared Kaplan, Harrison Edwards, Yura Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mo Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, David W. Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William H. Guss, Alex Nichol, Igor Babuschkin, Suchir Balaji, Shantanu Jain, Andrew Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew M. Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba,
Cited in the paper.
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bangbang Liu, Yuyu Luo, and Chenglin Wu, · 2024
Later among the works it cites.