On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation

31 May 2022

Papers citing "On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation"

4 / 4 papers shown

Title
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor Sangwon Yu Changmin Lee Hojin Lee Sungroh Yoon 27 0 0 13 Nov 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 35 21 0 30 Dec 2022
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation Tianxing He Jingyu Zhang Tianle Wang Sachin Kumar Kyunghyun Cho James R. Glass Yulia Tsvetkov 40 44 0 20 Dec 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 254 285 0 02 Feb 2021