Can Large Language Models Be an Alternative to Human Evaluations?

3 May 2023

Papers citing "Can Large Language Models Be an Alternative to Human Evaluations?"

6 / 6 papers shown

Title
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 146 331 0 23 Aug 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 205 8,441 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush 130 1,470 0 15 Oct 2021
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification J. Hauser Zhao Meng Damian Pascual Roger Wattenhofer OOD SILM AAML 117 11 0 15 Sep 2021
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation Marzena Karpinska Nader Akoury Mohit Iyyer 125 87 0 14 Sep 2021
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 165 863 0 21 Apr 2018