Governance of Generative Artificial Intelligence for Companies

5 February 2024

Papers citing "Governance of Generative Artificial Intelligence for Companies"

6 / 6 papers shown

Title
Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking Anjali Khurana Hariharan Subramonyam Parmit K. Chilana 29 7 0 12 Feb 2024
Best Practices for Text Annotation with Large Language Models Petter Törnberg 44 14 0 05 Feb 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 271 2,712 0 24 May 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 270 8,441 0 04 Mar 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 211 447 0 14 Jul 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 242 882 0 18 Apr 2021