React: Synergizing reasoning and acting in language models
Original
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
Cited alongside, same era.
Gpt-4 technical report
Original
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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Palm 2 technical report
Original
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al. 2023 · 2023
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Self-collaboration code generation via chatgpt
Original
Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li. 2023 · 2023
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Mathematical capabilities of chatgpt
Original
Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, and Julius Berner. 2023 · 2023
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Large language models are few-shot testers: Exploring llm-based general bug reproduction
Sungmin Kang, Juyeon Yoon, and Shin Yoo. 2023 · 2023
Cited alongside, same era.
Starcoder: may the source be with you!
Original
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al. 2023 · 2023
Cited alongside, same era.
Codecot and beyond: Learning to program and test like a developer
Original
Dong Huang, Qingwen Bu, and Heming Cui. 2023a
Cited in the paper.
Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
Original
Dong Huang, Qingwen Bu, Jie M Zhang, Michael Luck, and Heming Cui. 2023b
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Cost-effective hyperparameter optimization for large language model generation inference
Chi Wang, Susan Xueqing Liu, and Ahmed H. Awadallah. 2023a
Cited in the paper.
Intervenor: Prompt the coding ability of large language models with the interactive chain of repairing
Original
Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, and Ge Yu. 2023b
Cited in the paper.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Original
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023a
Cited in the paper.