/ReasoningNLP

paper list on reasoning in NLP

ReasoningNLP

Paper list on reasoning in NLP.

Languague Model Reasoning

  1. Critical Thinking for Language Models IWCS (2021)

    Gregor Betz, Christian Voigt, Kyle Richardson [pdf] [project]

  2. Show Your Work: Scratchpads for Intermediate Computation with Language Models arXiv (2021)

    Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena [pdf]

  3. Chain of Thought Prompting Elicits Reasoning in Large Language Models arXiv (2022)

    Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, Denny Zhou [pdf] [project]

  4. STaR: Bootstrapping Reasoning With Reasoning arXiv (2022)

    Eric Zelikman, Yuhuai Wu, Jesse Mu, Noah D. Goodman [pdf]

  5. Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning arXiv (2022)

    Antonia Creswell, Murray Shanahan, Irina Higgins [pdf]

  6. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models arXiv (2022)

    Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed Chi [pdf]

  7. Large Language Models are Zero-Shot Reasoners arXiv (2022)

    Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa [pdf] [project]

  8. Faithful Reasoning Using Large Language Models arXiv (2022)

    Antonia Creswell, Murray Shanahan [pdf]

  9. Language models show human-like content effects on reasoning arXiv (2022)

    Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill [pdf]

  10. On the Paradox of Learning to Reason from Data arXiv (2022)

    Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck [pdf] [project]

Contributor:

Fei Yu