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yuweihao committed Apr 17, 2023
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3. **STaR: Self-Taught Reasoner Bootstrapping Reasoning With Reasoning.**

*Eric Zelikman, Yuhuai Wu, Noah D. Goodman* [[pdf](https://arxiv.org/abs/2203.14465)] 2022.3
*Eric Zelikman, Yuhuai Wu, Noah D. Goodman* [[pdf](https://arxiv.org/abs/2203.14465)], [[code](https://github.com/ezelikman/STaR)] 2022.3

4. **PaLM: Scaling Language Modeling with Pathways.**

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8. **Large Language Models are Zero-Shot Reasoners.**

*Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa* [[pdf](https://arxiv.org/abs/2205.11916)] 2022.5
*Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa* [[pdf](https://arxiv.org/abs/2205.11916)], [[code](https://github.com/kojima-takeshi188/zero_shot_cot)] 2022.5

9. **Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.**

Expand All @@ -58,7 +58,7 @@ A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Langu

14. **JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.**

*Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen* [[pdf](https://arxiv.org/abs/2206.06315)] 2022.6
*Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen* [[pdf](https://arxiv.org/abs/2206.06315)], [[code](https://github.com/rucaibox/jiuzhang)] 2022.6

15. **A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams**

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17. **Language Model Cascades.**

*David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-dickstein, Kevin Murphy, Charles Sutton* [[pdf](https://arxiv.org/abs/2207.10342)] 2022.7
*David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-dickstein, Kevin Murphy, Charles Sutton* [[pdf](https://arxiv.org/abs/2207.10342)], [[code](https://github.com/google-research/cascades)] 2022.7

18. **Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango.**

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21. **Language Models are Multilingual Chain-of-Thought Reasoners.**

*Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei* [[pdf](https://arxiv.org/abs/2210.03057)] 2022.10
*Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei* [[pdf](https://arxiv.org/abs/2210.03057)], [[code](https://github.com/google-research/url-nlp)] 2022.10

22. **Automatic Chain of Thought Prompting in Large Language Models.**

*Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola* [[pdf](https://arxiv.org/abs/2210.03493)] 2022.10
*Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola* [[pdf](https://arxiv.org/abs/2210.03493)], [[code](https://github.com/amazon-science/auto-cot)] 2022.10


23. **Binding Language Models in Symbolic Languages.**

*Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu* [[pdf](https://arxiv.org/abs/2210.02875)] 2022.10
*Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu* [[pdf](https://arxiv.org/abs/2210.02875)], [[code](https://github.com/hkunlp/binder)] 2022.10

24. **ReAct: Synergizing Reasoning and Acting in Language Models.**

*Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao* [[pdf](https://arxiv.org/abs/2210.03629)] 2022.10
*Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao* [[pdf](https://arxiv.org/abs/2210.03629)], [[code](https://github.com/ysymyth/ReAct)] 2022.10

25. **Ask Me Anything: A simple strategy for prompting language models.**

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28. **Large Language Models are few(1)-shot Table Reasoners.**

*Wenhu Chen* [[pdf](https://arxiv.org/abs/2210.06710)] 2022.10
*Wenhu Chen* [[pdf](https://arxiv.org/abs/2210.06710)], [[code](https://github.com/wenhuchen/tablecot)] 2022.10

39. **PAL: Program-aided Language Models.**

*Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig* [[pdf](https://arxiv.org/abs/2211.10435)] 2022.11

30. **Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.**

*Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen* [[pdf](https://arxiv.org/abs/2211.12588)] 2022.11
*Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen* [[pdf](https://arxiv.org/abs/2211.12588)], [[code](https://github.com/wenhuchen/program-of-thoughts)] 2022.11

31. **Reasoning with Language Model Prompting: A Survey.**

*Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen* [[pdf](https://arxiv.org/abs/2212.09597)] 2022.12
*Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen* [[pdf](https://arxiv.org/abs/2212.09597)], [[code](https://github.com/zjunlp/Prompt4ReasoningPapers)] 2022.12

32. **Towards Reasoning in Large Language Models: A Survey.**

*Jie Huang, Kevin Chen-Chuan Chang* [[pdf](https://arxiv.org/abs/2212.10403)] 2022.12
*Jie Huang, Kevin Chen-Chuan Chang* [[pdf](https://arxiv.org/abs/2212.10403)], [[code](https://github.com/jeffhj/lm-reasoning)] 2022.12

33. **Large Language Models are reasoners with Self-Verification.**

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36. **Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning**

*Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li* [[pdf](https://arxiv.org/abs/2301.13808)] 2023.02
*Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li* [[pdf](https://arxiv.org/abs/2301.13808)], [[code](https://github.com/itsnamgyu/reasoning-teacher)] 2023.02

37. **Multimodal Chain-of-Thought Reasoning in Language Models**

*Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola* [[pdf](https://arxiv.org/abs/2302.00923)] 2023.02
*Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola* [[pdf](https://arxiv.org/abs/2302.00923)], [[code](https://github.com/amazon-science/mm-cot)] 2023.02

38. **Large Language Models Can Be Easily Distracted by Irrelevant Context**

*Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed Chi, Nathanael Schärli, Denny Zhou* [[pdf](https://arxiv.org/abs/2302.00093)] 2023.02
*Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed Chi, Nathanael Schärli, Denny Zhou* [[pdf](https://arxiv.org/abs/2302.00093)], [[code](https://github.com/google-research-datasets/gsm-ic)] 2023.02

39. **Active Prompting with Chain-of-Thought for Large Language Models**

*Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang* [[pdf](https://arxiv.org/abs/2302.12246)] 2023.02
*Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang* [[pdf](https://arxiv.org/abs/2302.12246)], [[code](https://github.com/shizhediao/active-prompt)] 2023.02


40. **MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action**

*Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang* [[pdf](https://arxiv.org/abs/2303.11381)] 2023.03
*Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang* [[pdf](https://arxiv.org/abs/2303.11381)], [[code](https://github.com/microsoft/MM-REACT)] 2023.03

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