Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety

13 December 2022

Papers citing "Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety"

7 / 7 papers shown

Title
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts Joel Jang Seonghyeon Ye Minjoon Seo ELM LRM 79 64 0 26 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
A Word on Machine Ethics: A Response to Jiang et al. (2021) Zeerak Talat Hagen Blix Josef Valvoda M. I. Ganesh Ryan Cotterell Adina Williams SyDa FaML 83 37 0 07 Nov 2021
Can Machines Learn Morality? The Delphi Experiment Liwei Jiang Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jenny T Liang ... Yulia Tsvetkov Oren Etzioni Maarten Sap Regina A. Rini Yejin Choi FaML 114 110 0 14 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 237 184 0 17 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020