GRUEN for Evaluating Linguistic Quality of Generated Text

6 October 2020

Papers citing "GRUEN for Evaluating Linguistic Quality of Generated Text"

9 / 9 papers shown

Title
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation SeongYeub Chu JongWoo Kim MunYong Yi 60 3 0 21 Feb 2025
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection Jooyoung Lee Toshini Agrawal Adaku Uchendu Thai V. Le Jinghui Chen Dongwon Lee 31 1 0 24 Jun 2024
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective Adaku Uchendu Thai Le Dongwon Lee DeLMO 32 41 0 19 Oct 2022
Deepfake Text Detection: Limitations and Opportunities Jiameng Pu Zain Sarwar Sifat Muhammad Abdullah A. Rehman Yoonjin Kim P. Bhattacharya M. Javed Bimal Viswanath AAML 24 54 0 17 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 28 6 0 14 Oct 2022
Romantic-Computing Elizabeth Horishny 11 0 0 01 Jun 2022
DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence Wei-Ye Zhao Michael Strube Steffen Eger 27 37 0 26 Jan 2022
Perturbation CheckLists for Evaluating NLG Evaluation Metrics Ananya B. Sai Tanay Dixit D. Y. Sheth S. Mohan Mitesh M. Khapra AAML 116 57 0 13 Sep 2021
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 214 1,327 0 05 Jun 2016