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arXiv 2208.12852cs.CLcs.AI

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey

Paul G. Allen School for Computer Science & Engineering, University of Washington(华盛顿大学保罗·G·艾伦计算机科学与工程学院);Center for Data Science, New York University(纽约大学数据科学中心);Courant Institute of Mathematical Sciences, New York University(纽约大学柯朗数学科学研究所);Department of Linguistics, New York University(纽约大学语言学系);Department of Computer Science, Johns Hopkins University(约翰斯·霍普金斯大学计算机科学系)

Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman

英文摘要:

We present the results of the NLP Community Metasurvey. Run from May to June 2022, the survey elicited opinions on controversial issues, including industry influence in the field, concerns about AGI, and ethics. Our results put concrete numbers to several controversies: For example, respondents are split almost exactly in half on questions about the importance of artificial general intelligence, whether language models understand language, and the necessity of linguistic structure and inductive bias for solving NLP problems. In addition, the survey posed meta-questions, asking respondents to predict the distribution of survey responses. This allows us not only to gain insight on the spectrum of beliefs held by NLP researchers, but also to uncover false sociological beliefs where the community's predictions don't match reality. We find such mismatches on a wide range of issues. Among other results, the community greatly overestimates its own belief in the usefulness of benchmarks and the potential for scaling to solve real-world problems, while underestimating its own belief in the importance of linguistic structure, inductive bias, and interdisciplinary science.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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