1. An, S., Ma, Z., Lin, Z., Zheng, N., Lou, J.G., Chen, W.: Learning from mistakes makes LLM better reasoner (2024)
2. Bai, J., et al.: QWEN technical report. arXiv preprint arXiv:2309.16609 (2023)
3. Chen, W., Ma, X., Wang, X., Cohen, W.W.: Program of thoughts prompting: disentangling computation from reasoning for numerical reasoning tasks. Trans. Mach. Learn. Res. (2023)
4. Chiang, T.R., Chen, Y.N.: Semantically-aligned equation generation for solving and reasoning math word problems. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long and Short Papers), Minneapolis, Minnesota, pp. 2656–2668. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/N19-1272. https://aclanthology.org/N19-1272
5. Chiang, W.L., et al.: Vicuna: an open-source chatbot impressing GPT-4 with 90%* ChatGPT quality (2023). https://lmsys.org/blog/2023-03-30-vicuna/