Opening up ChatGPT: Tracking openness, transparency, and accountability
in instruction-tuned text generators

Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators

8 July 2023

Andreas Liesenfeld

Mark Dingemanse

Papers citing "Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators"

15 / 15 papers shown

Title
Opening the Scope of Openness in AI Tamara Paris AJung Moon Jin Guo 31 0 0 09 May 2025
An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses Rohitash Chandra Aryan Chaudhary Yeshwanth Rayavarapu 44 0 0 27 Mar 2025
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards Zhimin Zhao A. A. Bangash F. Côgo Bram Adams Ahmed E. Hassan 62 1 0 04 Jul 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers Harald Semmelrock Tony Ross-Hellauer Simone Kopeinik Dieter Theiler Armin Haberl Stefan Thalmann Dominik Kowald 65 6 0 20 Jun 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 65 20 0 14 May 2024
Had enough of experts? Quantitative knowledge retrieval from large language models David Selby Kai Spriestersbach Yuichiro Iwashita Dennis Bappert Archana Warrier Sumantrak Mukherjee Muhammad Nabeel Asim Koichi Kise Sebastian Vollmer 44 0 0 12 Feb 2024
Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks Ben Fauber 29 2 0 08 Feb 2024
HyperPIE: Hyperparameter Information Extraction from Scientific Publications T. Saier Mayumi Ohta Takuto Asakura Michael Färber 19 4 0 17 Dec 2023
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 131 97 0 01 Jul 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 339 12,003 0 04 Mar 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 204 631 0 26 Feb 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 282 1,996 0 31 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,824 0 14 Dec 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 298 1,610 0 18 Sep 2019