Showing Your Work Doesn't Always Work

ACL 2020 Raphael TangJaejun LeeJi XinXinyu LiuYaoliang YuJimmy Lin

In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks. One exemplar publication, titled "Show Your Work: Improved Reporting of Experimental Results," advocates for reporting the expected validation effectiveness of the best-tuned model, with respect to the computational budget... (read more)

PDF Abstract ACL 2020 PDF ACL 2020 Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper