PAPER DIGEST
Most Influential SIGIR 2018 Paper · 2026-03 edition

Texygen: A Benchmarking Platform For Text Generation Models

Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu

Venue
ACM SIGIR Conference (SIGIR) 2018
Recognition
Most Influential SIGIR 2018 Paper (Rank No. 2)
Edition
2026-03
Impact factor
8
Certificate ID
ad54e1ef95303155

Abstract

We introduce Texygen, a benchmarking platform to support research on open-domain text generation models. Texygen has not only implemented a majority of text generation models, but also covered a set of metrics that evaluate the diversity, the quality and the consistency of the generated texts. The Texygen platform could help standardize the research on text generation and improve the reproductivity and reliability of future research work in text generation.

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