LLMs can Schedule

Probabilistic learning combinations of local job-shop scheduling rules

Henry Fisher and Gerald L. Thompson · 1963

Earlier work this paper cites.

The complexity of flowshop and jobshop scheduling

Michael R Garey, David S Johnson, and Ravi Sethi · 1976

Earlier work this paper cites.

An advanced tabu search algorithm for the job shop problem

Eugeniusz Nowicki and Czeslaw Smutnicki · 2005

Earlier work this paper cites.

Combining constraint programming and local search for job-shop scheduling

J. Christopher Beck, T. K. Feng, and Jean-Paul Watson · 2010

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Comparison of dispatching rules in job-shop scheduling problem using simulation: A case study

S. A. Chaudhry and S. Khan · 2015

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Multiple priority dispatching rules for the job shop scheduling problem

Mohamed Habib Zahmani, Baghdad Atmani, Abdelghani Bekrar, and Nassima Aissani · 2015

Earlier work this paper cites.

Job shop scheduling problem and solution algorithms: A review

Ceren Cebi, Enes Atac, and Ozgur Koray Sahingoz · 2020

Earlier work this paper cites.

Learning to dispatch for job shop scheduling via deep reinforcement learning

Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, and Chi Xu · 2020

Cited alongside, same era.

LoRA: Low-rank adaptation of large language models

Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022

Cited alongside, same era.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022

Cited alongside, same era.

Job shop scheduling via deep reinforcement learning: a sequence to sequence approach

Giovanni Bonetta, Davide Zago, Rossella Cancelliere, and Andrea Grosso · 2023

Cited alongside, same era.

Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks

Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W. Cohen · 2023

Cited alongside, same era.

Phi-3 technical report: A highly capable language model locally on your phone, 2024

Marah Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Jianmin Bao, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Qin Cai, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Dong Chen, Dongdong Chen, Yen-Chun Chen, Yi-Ling Chen, Parul Chopra, Xiyang Dai, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Victor Fragoso, Dan Iter, Mei Gao, Min Gao, Jianfeng Gao, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Yunsheng Li, Chen Liang, Lars Liden, Ce Liu, Mengchen Liu, Weishung Liu, Eric Lin, Zeqi Lin, Chong Luo, Piyush Madan, Matt Mazzola, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Swadheen Shukla, Xia Song, Masahiro Tanaka, Andrea Tupini, Xin Wang, Lijuan Wang, Chunyu Wang, Yu Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Haiping Wu, Michael Wyatt, Bin Xiao, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Jianwei Yang, Ziyi Yang, Yifan Yang, Donghan Yu, Lu Yuan, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, and Xiren Zhou · 2024

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Large language models for mathematical reasoning: Progresses and challenges

Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, and Wenpeng Yin · 2024

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Exploring the potential of large language models (llms) in learning on graphs, 2024

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, and Jiliang Tang · 2024