CopyBench: Measuring Literal and Non-Literal Reproduction of
Copyright-Protected Text in Language Model Generation

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation

9 July 2024

Niloofar Mireshghallah

Sewon Min

James Grimmelmann

Hannaneh Hajishirzi

Luke Zettlemoyer

Papers citing "CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation"

6 / 6 papers shown

Title
Certified Mitigation of Worst-Case LLM Copyright Infringement Jingyu Zhang Jiacan Yu Marc Marone Benjamin Van Durme Daniel Khashabi MoMe 51 0 0 22 Apr 2025
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations Kaixuan Huang Jiacheng Guo Zihao Li X. Ji Jiawei Ge ... Yangsibo Huang Chi Jin Xinyun Chen Chiyuan Zhang Mengdi Wang AAML LRM 78 7 0 10 Feb 2025
Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 35 4 0 29 Jul 2024
Who's Harry Potter? Approximate Unlearning in LLMs Ronen Eldan M. Russinovich MU MoMe 101 171 0 03 Oct 2023
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 301 11,730 0 04 Mar 2022
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 242 1,977 0 31 Dec 2020